ICCV 2019 is over. Posting jobs is not allowed anymore.
The Applied Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a research engineer with focus on Computer Vision, Machine Learning and Software development, contributing to new technology development in the area of 3D scene understanding/reconstruction and spatial AI systems for next generation robotic surgery platforms. This role is an exciting opportunity to join a newly formed team and contribute to its future growth and it will give you an opportunity to test your knowledge in a challenging problem solving environment.
We are seeking a self-motivated intern to develop prototype methods to model, detect and recognize the surgical activities occurring within procedure videos. Work will include image/video understanding and surgical activity recognition algorithms based on unique clinical datasets and state-of-the-art deep learning and computer vision methods.
trivago aims to be the traveler's first and independent source of information for finding the ideal hotel at the lowest rate. We are the technology leader in the industry, creating consumer centric, test-driven, fast products. We are home to over 500 tech specialists from all corners of the globe, who wake up every day to build a hotel search that is straightforward, simple-to-use and unbiased. Our engineers operate on a large-scale, complex, and rapidly evolving IT landscape. We’re a pretty diverse bunch, but our culture is our common ground: it allows us to feel comfortable, despite different backgrounds. Mix that with our entrepreneurial vision, agile structure and self-determined working hours and you’ve got the winning recipe to keeping our talents motivated, productive and happy to come to work each morning. trivago is looking for exciting Data Scientists around the globe! 1. trivago has gathered a lot of data (images, text, prices, amenities, etc) for more than 3 Million hotels. How can we learn from these pieces of (sometimes contradictory) information in a way that helps our users to find their ideal hotel? Your work has the potential to have a direct impact on how millions of users’ search for their ideal hotel! 2. Also we have data of billions of keywords on more than 50 markets for an automated bidding algorithm that allows us to bring the right message in front of the right user at the right time. Do you want to have a major impact on the performance of search engine marketing? 3. We also dedicated to establish a sound evaluation framework to determine the consistency and accuracy of rates coming from our advertisers. Do you want to transform insights into actionable steps that ensure a smooth transition from trivago to an advertiser’s landing page? You can work on high impact topics and use the power of our petabytes of data to develop creative, data-driven solutions that satisfy the needs of our users and advertisers (online travel agencies, hotel chains, and hoteliers). 4. trivago has a marketing budget of >700.000 Million EUR / year and does Marketing Intelligence excite you to develop tools and reports to measure the efficiency of the various marketing campaigns? Does the challenge of optimizing a multi-million euro investment sound exciting to you? You can find more about the positions in the link provided. Feel free to get in touch with your Resume!
Internship in the area of Computer Vision applied to Facial Analysis at INRIA Sophia Antipolis, France --------------------------------------------------------------------------------------------------------------------------------- Position is offered within the framework of the ANR grant RESPECT (http://www.respect-project.eu/) and is ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe. Full announcement: https://jobs.inria.fr/public/classic/fr/offres/2019-02019 To apply, please email a full application to Antitza Dantcheva (email@example.com), indicating [RESPECT JOB] in the e-mail subject line.
We are currently looking for exceptional Computer Vision and Machine Learning engineers to join our growing team in Staines-upon-Thames, UK. This is a good opportunity to work on next generation mobile devices from Samsung. The prospective engineer will investigate vision techniques for content creation and image manipulation, e.g. style transfer, and processing of live camera frames and images on PC and mobile environment. The prospective engineer will have an opportunity to work on production environments and solve industry relevant problems.
Link | Contact: Alessandro Vandini | Posted on: 2019-11-02 05:04:38 UTC
You will be part of an innovative, open environment with a cross functional team, managing all aspects required to add value to the product, from requirement analysis, concept development, to implement and testing. As a person you are enthusiastic, thrive in an agile, collaborative environment, love to share your knowledge and experience with the team. Deep knowledge of computer vision-based technology for mobile vision systems Demonstrated experience developing vision-based algorithms like object detection and segmentation, feature extraction, visual object tracking, stereo generation, and structure from motion/3D reconstruction Experience in Deep Learning algorithms Strong background in applied mathematics, applied physics, signal processing and image processing. Strong C/C++ programming, Linux OS GPU Programming, Computer Graphics and Embedded Software Development Ph.D. or M.Sc. related to one of the following fields: Machine Learning, Computer Vision, Robotics, Engineering or Science.
We are offering a PhD studentship as part of the Biome Health Research Project (https://www.biomehealthproject.com), related to the development of machine learning methods needed to analyse large image and acoustic datasets. Current state-of-the-art methods in machine learning for image and acoustic classification are based on supervised deep learning neural networks (DNNs), and require large amounts of carefully annotated training data (e.g. 1, 2). However, these annotations often need expert knowledge to recognise and label different animal species from images (3). As such these methods are both time consuming and expensive to collect. The goal of this project is to investigate and develop next generation methods for training DNNs that are more efficient in how they utilise supervision. This will include methods for self-supervised representation learning (4), utilising additional available metadata (5), and multi-modal learning from paired audio and visual data. The student will be based at UCL’s Centre for Biodiversity and Environmental Research (CBER) and the Department of Computer Science. In addition, the student will work with researchers at the School of Informatics at University of Edinburgh, and will have the opportunity to work collaboratively with other partners in the Biome Health Team which include WWF UK, Imperial College London and the Zoological Society of London. This PhD is restricted to UK/EU students only (sorry).
The Department of Computer Science at the University of British Columbia (Vancouver campus) is inviting applications at least three positions at the rank of Assistant Professor. We invite applications from candidates of outstanding scientific talent in each of three categories: 1) artificial intelligence or machine learning; 2) systems, including computer architecture, networking and database systems; 3) all other areas of computer science. Appointment at a higher rank will be considered for an applicant of exceptional qualifications. UBC Computer Science (www.cs.ubc.ca) ranks among the top departments in North America, with a strong record of excellence in research and in graduate and undergraduate teaching. The anticipated start date is July 1, 2020. A PhD in Computer Science or a related area is required. Applicants must hold a Ph.D. in Computer Science or a related area by the start date and must demonstrate evidence of research success and a high potential to be leaders in their research field. Successful candidates will develop and maintain an internationally-recognized research program and are expected to effectively supervise graduate students, collaborate with other faculty members, obtain external funding, teach computer science courses for undergraduate and graduate students, and actively participate in departmental activities. The potential of an applicant's research program to complement and extend the existing research and teaching strengths of the department will be an important factor in selection. Interested applicants should submit a CV, a research statement, a teaching statement, and letters from at least three references. The teaching statement should include a record of teaching interests and experience. Applicants should also include a statement describing your experience working with a diverse student body, as well as your past, present, and/or future contributions to creating/advancing a culture of equity and inclusion on campus or within your discipline.
Sizigi is building a game centered around collecting GAN-generated characters. We are a team of technologists and artists working on applying the latest advances in controlled image synthesis directly to game asset creation, allowing each player to have a personalized game experience. We’re looking for an artist with strong VFX skills to breathe life into the game. Your art style will greatly impact the look and feel of the game and the direction that R&D goes. You will get to work in a fast-paced, low-friction environment in the heart of San Francisco, pioneering creative solutions and doing whatever it takes to make the game good. If interested, shoot an email with your portfolio.
Link | Contact: Haitao Mao | Posted on: 2019-11-02 02:51:07 UTC
The College of Information Sciences and Technology at the Pennsylvania State University invites applications for multiple, open-rank, tenure-track faculty positions in Artificial Intelligence beginning in Fall 2020. Review of applications begins on December 15, 2019, and will continue until positions are filled. We seek outstanding candidates with a strong track record of research and publications in all areas of Artificial Intelligence. We are especially interested in candidates whose research contributes to AI for social good, applying artificial intelligence to address societal challenges. Successful candidates for the Assistant Professor position should have a Ph.D. in a relevant field prior to beginning employment at Penn State and should demonstrate strong research potential and commitment to interdisciplinary research and education; Candidates for the Associate Professor position should have a Ph.D. and a strong track record of research, publications, and funding; Candidates for the Full Professor position should have a Ph.D. and a track record of research, publications, and funding that distinguishes them, nationally or internationally, as leaders in Artificial Intelligence. All candidates must pass a background check before beginning employment. To apply, please visit https://psu.jobs/job/91038 and upload only basic personal information (but not other information listed below). In addition, applicants must submit the following materials to https:// academicjobsonline.org/ajo/jobs/14720: (1) a cover letter detailing the relevant qualifications for the position; (2) a curriculum vitae including publications list; (3) a 2-5 page research statement, and a 1-2 page teaching statement. Applicants for the Assistant Professor position should arrange for at least 3 references, and those for the Associate or Full Professor position should arrange for at least 4 references, to be submitted via AcademicJobsOnline. Inquiries about the position may be directed to firstname.lastname@example.org. The Pennsylvania State University is the land grant institution of Pennsylvania. University Park is the largest of Penn State’s 24 campuses, with approximately 46,000 undergraduates and more than 150 graduate programs. The College of IST at Penn State offers a highly collaborative interdisciplinary research environment, a strong Ph.D. program in informatics, and strong research programs in data sciences, artificial intelligence, human-computer interaction, information security and privacy, and socio-technical systems. To review the Annual Security Report which contains information about crime statistics and other safety and security matters and policies, please go to https://police.psu.edu/annual-security-reports, which will also explain how to request a paper copy of the Annual Security Report.
STAR Labs (Samsung Technology & Advanced Research Labs) is headed by Pranav Mistry with a mission to undertake independent initiatives to create end-to-end new businesses and expand growth areas for Samsung. At STAR Labs, we are building new immersive and intelligent services that is making science fiction a reality. STAR Labs consists of best of the best from domains such as computer science, business strategy, engineering, design; and diverse set of experiences from places like MIT, Stanford, Oxford, CMU, Nasa, Google, Microsoft and many more. The team builds upon their outstanding track record of creating products that have real-world impact at global scale. We are rapidly expanding and is looking for the best to join and help us build foundation for our next magical technology stack. We value our differences and are excited to learn what you can add to STAR Labs. MS/PhD degree in Computer Science. Publications in major vision/ML conferences is big plus. Strong system development experience including but not limited to Java/C++/Python. Strong familiarity with deep learning such as libraries such as TensorFlow, Caffe, Scikit-Learn, Scipy, Pandas, PyTorch and others
Mitsubishi Electric Research Lab (MERL) is seeking creative, brilliant applicants for a position as a research scientist within our Computer Vision group. The Computer Vision Group at MERL conducts fundamental, academically oriented, cutting-edge research that is applied to challenging industrial problems such as object, action and scene understanding in 2D and 3D images and videos, robotic vision, reinforcement learning, simulation, anomaly detection and autonomous driving. There is no area of computer vision research that you can’t pursue. Applicants must have a Ph.D. in Computer Science, Electrical Engineering or related areas focused on Computer Vision, and have a documented track record of creative innovation that has led to successful research outcomes. Candidates with at least 5 years of experience will be considered for senior positions. Applicants are expected to have excellent programming skills, and be able to communicate effectively in both written and verbal forms. We are looking for Research Scientists and Principal Research Scientists committed to setting their own path in the area of Computer Vision. With more than 25 years of innovation, MERL is proud to foster an environment that gives researchers the opportunity to set their own path and pursue their passions. The culture at MERL, which values both fundamental scientific contributions and its application to real business, allows for all of our researchers to become leaders in their field. We publish all of our researcher, attend and organize conferences and workshops, and collaborate with universities. There is no other industrial lab with this level of freedom and flexibility. Best of all, every staff member has a private office with a door and their own white board. Imagine this, a private quiet space where you can think and work without outside intrusions. Where else can you find that?
AI Research team at Apple is seeking highly motivated and qualified individual to join our internship program. Our team pursues research & development in the areas of machine learning (ML) with particular focus on deep learning (DL), computer vision (CV), audio processing, Natural Language Processing (NLP), optimization, statistics and data analysis. The ideal candidate would be a PhD student with a strong background in one or more of the above areas with relevant publication record. Strong programming skills in Python (C++ is a plus) and hands-on experience with deep learning libraries (TensorFlow or PyTorch) are expected. The intern will collaborate with Apple researchers to research and implement new machine learning solutions, conduct large scale experiments, deliver technology results and prepare technical reports for publication.
Link | Contact: Oncel Tuzel | Posted on: 2019-11-02 02:30:21 UTC
At the Esri R&D Center, New Delhi, we are applying artificial intelligence (AI) and deep learning to revolutionize geospatial analysis and solve some of the world's biggest challenges. We are now hiring, with job openings for data scientists and computer vision, 3D deep learning, and NLP. Join our team of exceptional data scientists and software engineers to deliver a modern enterprise data science platform, develop industry-leading AI models, and build world-class geospatial AI (GeoAI) solutions.
Huya AI team is seeking highly motivated interns to work on high-quality character motions through key-frame animation and motion capture/performance capture. You will collaborate with other animators, tech artist, and designers to identify and execute on the animation needs.Strong working knowledge of the game art production pipeline. Qualifications: 1)Understanding and knowledge of character rigs, animation integration into game engines, and animation tools. 2)Experience with creating realistic animation for human characters with an emphasis on acting performance. 3)Proficient in one or more types of 3D software, primarily Maya. 4)Experience with Mesh Skinning Vertex weighting and rigging is a plus. 5) Experience with Facial Rigging, animation, UnrealEngine4, and with hair, cloth, physics, and VFX systems. 6) Please include your Resume and demo reel in your application.
Link | Contact: Qing Wang | Posted on: 2019-10-27 10:28:18 UTC
Huya AI team is seeking highly motivated interns to work in the field of computer graphics, and explore applications of AI technology in high quality content generation and user interaction. Qualifications: computer graphics or related background, experience with 3D reconstruction and point cloud is highly preferred. Familiar with C++/Python, good coding habits. Familiar with deep learning technology, previous experience with integrating AI with computer graphics technology is preferred. Knowledge of state of the art computer graphics research, ability to read related English scientific papers. Passionate about AI and CG technology, and strive for excellence.
Link | Contact: Qing Wang | Posted on: 2019-10-27 10:28:05 UTC
Huya AI team is seeking highly motivated interns to work on Huya AI products in the field of computer vision, and explore applications of AI technology in human gesture and scene understanding. Required：Masters or PhD students major in computer science or related field, with solid foundation in computer graphics and mathematics.Familiar with C++/Python, good coding habits, and experience in libraries (OpenCV/numpy) is preferred.Familiar with deep learning technology, previous experience with TensorFlow, PyTorch, Caffe, maxnet is preferred. Knowledge of state of the art computer vision research, ability to read related English scientific papers. Strong problem solving and hands-on ability.
Link | Contact: Qing Wang | Posted on: 2019-10-27 10:27:50 UTC
The A*STAR Artificial Intelligence (AI) Initiative, Singapore is seeking an exceptional CV/ML Scientist to expand our dynamic and multi-disciplinary AI team. Our current team members have degrees in computer science, information systems, psychology, cognitive science and neuroscience from Berkeley, CMU, EFPL, KU Leuven, NTU, NUS, MIT, Stanford, SUTD, UIUC, etc (https://www.a-star.edu.sg/ihpc/). We work on some of the most crucial, incredibly hard, and future-oriented problems in AI. A*STAR (https://www.a-star.edu.sg/) is the biggest publicly funded research organization in Singapore. In particular, we are looking for an excellent research scientist with a background in Computer Vision and Machine learning to work on a project led by Dr. Basura Fernando (https://basurafernando.github.io/). Specifically, this project aims to develop new machine learning models that learn to anticipate human actions and forecast future actions. The candidate has to work with the team to make scientific progress in human action anticipation and forecasting in both theoretical and application aspects. Prior work on human action recognition, generative adversarial networks, and recurrent neural networks is a plus point. Scientist will have access to many benefits from A*STAR and A*AI.Position is for two years (position is extendable). Job requirements: PhD degree in Computer Vision, Machine Learning with a strong track record in CVPR, ECCV, ICCV, NIPS, ICML, WACV, ICLR, AAAI, IJCAI or journal papers in IEEE TPAMI, IJCV, Pattern Recognition, IEEE TIP and related. Fresh PhDs with a track record of the above mentioned are encouraged to apply. Strong programming skills in python (Pytorch, Tensorflow)is required. Excellent computer vision and machine learning skills are required. For more information, please contact Dr. Basura Fernando (email@example.com or firstname.lastname@example.org).
The Robotics and Electromechanical Systems (REMS) Group at Intelligent Automation, Inc. (IAI) has an open full-time position for a Research Scientist in computer vision and machine learning. We are looking for an outstanding self-motivated researcher with a Masters or Doctorate degree in Electrical Engineering or Computer Science with a background in computer vision and machine learning. You will be working with the multi-disciplinary team of scientists and engineers in the REMS Group to develop custom solutions for our customers in the fields of Video Analytics, Robotics Perception and AI. We have numerous active research and development projects where we design, integrate, test, and deploy systems for a range of applications, including ISR (intelligence, surveillance, and reconnaissance), perception for autonomous systems, aircraft inspection, training, and simulation. The desired candidate should have a strong publication record in computer vision particularly in the areas of object detection and tracking, object recognition, machine learning, and robotic vision. A solid background in programming is important. JOB DUTIES • Conduct research and development in the area of computer vision and image processing • Develop software to train and use machine learning frameworks • Design, implement, and integrate computer vision and machine learning algorithms and prototypes • Interact with and support multiple research teams • Support program management and business development efforts by writing reports/papers, contributing to proposals, and presenting to customers REQUIRED EXPERIENCE & EDUCATION • MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics or other related field • Minimum 3 years of hands-on experience in research, engineering, or research & development DESIRED SKILLS • Proficiency in C++, MATLAB, and Python • Minimum 3 years of experience with computer vision techniques such as object recognition, segmentation, and classification • Experience with machine learning or deep learning models such as AlexNet and VGG • Proficient technical writing and strong communication skills • Familiarity with computer vision libraries and machine learning framework, such as OpenCV, TensorFlow, PyTorch
lululab, a spin-off company from Samsung Electronics, develops the world’s first portable AI incorporated skin solution - ‘LUMINI’. With LUMINI, lululab creates "skin data" that is absent from the beauty industry before, and helps people to understand their skin accurately and easily find the products and services that are right for their skin. Ultimately, lululab will build "Skin Big Data" for people around the world, connect consumers and the beauty industry by data-based services based on skin data. We are looking for computer vision / machine learning engineers. * Responsibilities - Developing algorithms to detect skin problems from images taken by LUMINI - Developing skin condition simulation algorithm - Patent, research paper writing
Post-doctoral Fellowship Medical Image Processing – Machine Learning & Computer-Aided Diagnosis A post-doctoral fellowship is available for 2D/2.5D/3D/4D radiology image processing in Bethesda, Maryland, USA. Specific interest areas are deep learning, image segmentation, modeling, visualization, pattern recognition, computer-aided diagnosis, multi-organ models, atlases and registration. In particular, advanced skills in image processing (computer vision, mathematical modeling, optimization, machine learning) are sought. The researcher will work closely with staff scientists, imaging specialists and clinicians and have access to state-of-the-art whole body MRI, MRI-PET, low-dose CT scanners, advanced graphics workstations and parallel processing/GPU clusters. Basic Qualifications: Ph.D. in Computer Science, Electrical Engineering, or related discipline with experience in Computer Vision, Machine Learning, or Image Understanding domain, along with successful demonstration of key responsibilities. Desirable Qualifications: Strong theoretical and practical background in computer vision, image and video analysis, such as object detection and recognition, statistical pattern recognition, machine learning, sparse methods and applied optimization. Prior knowledge about medical imaging is a plus but not a must. Enthusiasm in solving real world clinical imaging problems using large datasets, and hands-on coding skills and ability in C++ and Matlab. This appointment is for one year and is renewable thereafter on a periodic basis (up to five years). Applications should include a CV, brief statement of research interests and three letters of reference. DHHS and NIH are Equal Opportunity Employers. Application Instructions: Email application materials to Dr. Ronald Summers at email@example.com. Ronald Summers, M.D., Ph.D. Chief, Imaging Biomarkers and Computer-Aided Diagnosis Laboratory E-mail: firstname.lastname@example.org http://www.cc.nih.gov/about/SeniorStaff/ronald_summers.html
We're looking for highly talented & motivated engineers for state-of-the-art deep learning model compression technology, autoML, federated learning. ● Brief intro of Nota : Nota is an outstanding tech-based startup doing on-device AI. We're now targeting vision-based technologies such as detection, segmentation, tracking, etc., and will expand to speech and text-based technologies soon. Nota consists of 18 passionate members. ●Responsibility : R&D machine learning technologies related to on-device AI ●Hiring process : submission of CV and portfolios - online coding test - deep learning assignment - final interview. ●Qualification : Expertise in ML and DL / Ability to review recent research papers / Excellent communication skills with colleagues / Highly familiar with Python / Highly familiar with DL library (Tensorflow, PyTorch, etc.) / ●Preferred : MS or Ph.D degree in related majors (EE, CS, statistics, mathematics, etc.) / Low level programming skills (C, C++) / Experience in publishing research paper / Fluent communication in English / AI challenge results
Link | Contact: Myungsu Chae | Posted on: 2019-10-25 13:16:33 UTC
The Department of Computer Science (CS) at The University of Texas at San Antonio (UTSA) invites applications for one tenure-track Assistant Professor and two open-rank positions (Assistant, Associate or Full Professor) starting in Fall 2020 in the general areas of algorithms/theory, computer systems/big data, and data science/artificial intelligence. Internationally recognized outstanding candidates in other areas are also encouraged to apply. The upcoming cluster hirings in augmented and virtual reality and in quantum computing and information are also seeking CS faculty with strong collaborative potential with other disciplines. We seek faculty members who embrace excellence and diversity with a strong commitment to teaching, mentoring, and collaboration. UTSA especially seeks to grow its faculty ranks of women and underrepresented minorities.
Verisk | AI combines the energy and focus of a start-up with Verisk’s large and unique data assets and deep domain expertise. It draws on the company’s massive volumes of data to help Verisk businesses create new inventions, technology and products in domains from political risk analysis, to economic forecasting to geospatial data solutions among others. We’re looking for highly talented and motivated candidates passionate about doing industrial R&D, building and deploying AI and ML solutions for real-world problems. The areas of application are Verisk-wide and hence diverse. They include, but are not limited to, computer vision, document understanding, natural language processing, speech understanding, modeling of large-scale natural and health disasters, political risk analysis etc. Verisk | AI has several positions available, as we are growing our team in the US and India. We are hiring interns, residents, post-docs, individual contributors, and managers. Please reach out to further discuss joining us.
Huya AI team is seeking highly motivated researchers/engineers/interns to work on exciting content generation projects. You will be responsible for conducting cutting-edge research in generating human faces/bodies. The projects you will be working on have large potential impact, both in academia (you will have the chance to publish top-tier conference papers) and industry (your research will be used in Huya's broadcasting products and enjoyed by millions of users). Qualifications: 1) Deep understanding and practical experience in computer vision and machine learning, especially deep generative models (GANs, VAEs, etc.). 2) Proficient in coding (Python, C/C++) and deep learning frameworks (TensorFlow, PyTorch). 3) Strong publication record in top conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) is a plus. 4) Humorous candidates are strongly preferred. Please send an Email to Dr. Xintong Han (http://www.umiacs.umd.edu/~xintong/) at email@example.com with your resume and visit Huya's booth (E-52) during ICCV for more information.
Link | Contact: Xintong Han | Posted on: 2019-10-25 13:15:06 UTC
The Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment (see https://wasp-sweden.org). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. WASP aims to strengthen Linköping University specifically in the field of machine learning within the AI focus-area of WASP. We seek competence in Machine Learning for Visual Perception with focus particularly on mathematics and algorithms for machine learning and pattern recognition relevant to computer vision problems. The developed mathematical tools and algorithms will aim at a better understanding of the processes within deep learning-based vision systems, including handling of uncertain input data, propagation of confidences, detection of anomalies, robustness to polluted training data, enforcement of hard constraints, visualization of relevance, and explorative data acquisition. The research fellow will also explore application areas of this research, e.g., within forestry and agriculture technology. If you are looking for work at an excellent young university, living in urban or rural environments with commuting distance of 15 min, and want to possibly exploit your research results commercially (YOU will completely OWN your IPR): Apply before November 6!
The Personal Robotics Laboratory (www.imperial.ac.uk/PersonalRobotics) at Imperial College London has a postdoctoral position opening on a new InnovateUK project on Scene Understanding and Tracking for autonomous vehicles and robots. Working in collaboration with multiple industrial and academic partners (TFL - Transport for London, Claytex, Digital Greenwich, DRiskAI and the Transport Systems & Logistics Lab at Imperial), you will be joining an exciting project on simulation-based safety validation of navigation behaviours for both autonomous vehicles and robots. Postdoctoral applicants with substantial experience in computer vision in complex dynamic environments, machine learning and/or robotics are encouraged to apply. Please see the job link for details about the job position and the application process
Amazon’s Fashion Tech team is looking for a Sr. Applied Scientist to shape the future of Fashion eCommerce. Amazon fashion's business is a dynamic, fast growing business and a key strategic focus area for the company. We need bright and very talented people to help us fulfill our mission of making Amazon Fashion the most loved Fashion destination in the World! You will play a key role in the new developments and innovation Amazon is driving within the Fashion category. You will design, develop, train and evaluate the models that will allow Amazon customers globally to discover one of the biggest selections in the industry. You will work closely with Business partners on identifying opportunities and with Software development teams supported by industrial scale development tools. The ideal candidate for this role will be a strong, creative and highly motivated Applied Scientist, who will lead our efforts on providing a most enjoyable visual experience and the best suited recommendations for our customers. We are recruiting someone to help us on shaping a long-term vision through personalization and computer vision techniques with different deep learning techniques that will learn from petabytes of data. You will research and implement novel machine learning and statistical approaches and you will also participate in the worldwide Amazon ML community. For more information about the role, click on the link below and feel free to reach out directly.
Amazon's EU Home Innovation Program team is on a mission to reinvent how EU customers discover and purchase products for their Home and personal spaces on the Amazon page. These are some of the most personal, meaningful purchases customers make, as they create the homes and daily living experiences that they and their families love. But these are complicated decisions, as they are often emotional or have to do with taste, which each of which is hard to quantify. As a Senior Applied Scientist, you will invent, build and deploy state of the art machine-learning models and systems to enable and enhance the team's mission—real world incarnations of some of the most difficult academic problems. You will work with Amazon’s data sets, develop a long-term scientific agenda, initiate and lead scientific projects and mentor applied scientists. You will partner closely with our engineering teams, present your work to product and engineering teams at Amazon, publish scientific papers and apply for patents for your inventions. Feel free to reach out for more information about the role.
Amazon's computer vision research group in Berlin, Germany creating novel solutions in collaboration with product teams all across Amazon for some of the most visible and exciting problems out there. Their work sits right at the intersection of research and engineering and they are delivering products with real world impact in various application fields, e.g for Prime Video, Prime Photos, Robotics and Amazon Fresh. If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you.
About us: Turing Labs is one of the core research institutes of Alibaba's risk preventing business. It aims to forge and deliver AI capabilities to help preventing people who do business on Alibaba's platform from both elementary and complex information risks, in an intelligent way. The explored fields includes computer vision, computational linguistics, speech recognition, machine learning, data minining, distributed systems and so on. At Turing Labs, we believe we can provide you an opportunity to find a more powerful selves! In this spring, we are hiring excellent candidates who can fullfil one of the following positions: • Experts of algorithms in the field of computer vision, natural language processing, speech recognition, etc. • Engineers and architects desiging, building, and maintaining software infrastructures for delivering our AI capabilities. Job description: • Forge and deliver algorithm capabilities to help providing protection of business performed on Alibaba's information system, in the form of image, video, text, speech, etc. • Research and discover sparkling ideas in AI fields, publish papers on influential academical conferences and scientific journals • Build and maintain reliable and efficient software infrastures and support research team to fully empower the operation of Alibaba's information security Basic Qualifications: • M.Sc. (Ph.D. is preferred) in computer science and related field • Fluent programming skills in Python, JAVA, C/C++ • Efficient reading and writing skills in Mandarin and English • Good at make things happen • Self motivated, and resilent when confronted with hard problems Preferred Qualifications: • At least 3 years hands-on programming experience working in AI fields. • Highly prefer previous experience with TensorFlow, CAFFE, PyTorch, MXNet. • Forge and support AI infrastructures for stunning AI utilities for Alibaba ecology • Publications on top-level academical conferences and journals in AI community • Awesome code repositories managed on Github Professional Skill Requirements: • Proven success in contributing to a team-oriented environment • Proven ability to work creatively and analytically in a problem-solving environment • Desire to work in an information systems environment • Excellent leadership, communication (written and oral) and interpersonal skills
[HYPERCONNECT] The ML team is responsible for conducting machine learning research and development in various domains such as image, audio, and language, to provide machine learning-related skills to various in-house services. Hyperconnect ML team is one of the few organizations in Korea that has produced significant results in mobile deep learning. To protect user privacy, we have focused on light-weight models for mobile devices without any server intervention. Such endeavor has led the team to win second place in LPIRC 2018, and publish a paper on mobile keyword spotting model at INTERSPEECH 2019. We focus on solving real problems with the state-of-the-art technology. The team concentrates on delivering clear results. We require research capabilities as a scientist for coming up with cutting-edge models, and the ability of an engineer to meet the extreme constraints enforced on the performance of such models. [Responsibilities] ● ML backend infrastructure development - Develop infrastructure for (distributed) training of research models - Develop infrastructure for continuous deployment (data pipeline, training) ● ML frontend production development - Mobile C++ programming - Mobile deep learning SDK development ● Research - Mobile on-device deep learning inference engine optimization - Faster distributed training research [Minimum Qualifications] ● Good troubleshooting abilities ● Comfortable with Linux environment ● Develop across multiple stacks ● Quickly adapt to unfamiliar situations ● Mobile client development experience or DevOps experience [Preferred Qualifications] ● Familiar with AWS/GCP ● Familiar with container technology such as docker/kubernetes ● Familiar with deep learning library (TensorFlow, PyTorch, etc.) ● Familiar with mobile deep learning library (TFLite, ncnn, etc.) ● Proficient with mobile C++ ● Proficient with GPU programming with CUDA, etc. ● Proficient with reading and implementing a paper
[HYPERCONNECT] The ML team is responsible for conducting machine learning research and development in various domains such as image, audio, and language, to provide machine learning-related skills to various in-house services. Hyperconnect ML team is one of the few organizations in Korea that has produced significant results in mobile deep learning. To protect user privacy, we have focused on light-weight models for mobile devices without any server intervention. Such endeavor has led the team to win second place in LPIRC 2018, and publish a paper on mobile keyword spotting model at INTERSPEECH 2019. We focus on solving real problems with the state-of-the-art technology. The team concentrates on delivering clear results. We require research capabilities as a scientist for coming up with cutting-edge models, and the ability of an engineer to meet the extreme constraints enforced on the performance of such models. [Responsibilities] ● Research & Development - Research and develop machine learning model. Collect data required for experiments. Design and develop infrastructure for fast and accurate experiments. Make sure the final model has good performance. ● Improvement & Maintenance - Improving and maintaining the performance and the robustness of the deployed models. ● Community Contribution - We aim to publish the results as a paper/blog post/open source software. [Minimum Qualifications] ● Expertise in machine learning ● Experienced with ML related projects ● Ability to read/understand a paper and implement it ● Fluent communication skills in English ● Well-versed in Python development environment [Preferred Qualifications] ● Published results in top conferences in ML ● Low level programming language proficiency such as C++ and assembly language ● Mobile development (iOS, android) ● AI competition/challenge results ● One who can boast extensive knowledge of machine learning during the interview
[HYPERCONNECT] The ML team is responsible for conducting machine learning research and development in various domains such as image, audio, and language, to provide machine learning-related skills to various in-house services. Hyperconnect ML team is one of the few organizations in Korea that has produced significant results in mobile deep learning. To protect user privacy, we have focused on light-weight models for mobile devices without any server intervention. Such endeavor has led the team to win second place in LPIRC 2018, and publish a paper on mobile keyword spotting model at INTERSPEECH 2019. We focus on solving real problems with the state-of-the-art technology. The team concentrates on delivering clear results. We require research capabilities as a scientist for coming up with cutting-edge models, and the ability of an engineer to meet the extreme constraints enforced on the performance of such models. [Responsibilities] ● Research & Development - Research and develop machine learning model. Develop AI technologies from coming up with the right questions to validating the solutions. ● Community Contribution - We aim to publish the results as a paper/blog post/open source software. [Minimum Qualifications] ● MS/Ph.D degree in related majors (machine learning, computer science, statistics, etc.) ● Expertise in machine learning ● Experienced with ML related projects ● Ability to read/understand a paper and implement it ● Fluent communication skills in English ● Well-versed in Python development environment [Preferred Qualifications] ● Published results in top conferences in ML ● AI competition/challenge results
Internship to IoT and computer vision
Link | Contact: Trung Le | Posted on: 2019-10-23 17:04:54 UTC
Internship to computer vision, practice on IoT in VCCorp
Noul is a biomedical diagnostics company focused on next generation POC (point-of-care) blood testing platform for resource-limited medical facilities, clinics, and local hospitals. Noul seeks to solve global challenges that threaten human life, discover novel solutions, and establish a new gold standard in POC blood testing. Noul’s solution aims to improve accessibility to proper health care by integrating innovations in biology, artificial intelligence, mobile technology, robotics, and software/hardware engineering. Noul has filed over 65 global patents, conducted more than seven field clinical trials, and has research partnerships with world-class global institutions such as Harvard University, Columbia University, Swiss TPH, and FIND (Foundation for Innovative New Diagnostics), among others. ** We are looking for computer vision / machine learning engineers. The candidate is expected to: 1. Research and develop computer vision / machine learning methods to diagnose diseases from images taken under a microscope. 2. Participate in interdisciplinary R&D with experts from biomedical, software, hardware, and mechanical engineering fields. 3. Publish results to top computer vision, machine learning, and biomedical venues. ** Noul prefers applicants with a master’s degree in computer science or a related technical field. We are willing to consider strong Bachelors with equivalent practical experiences. Programming experiences in Python(must) or C++(beneficial) using deep learning platform is required. Experiences in publishing research papers, medal-level Kaggle competition record, and open source contributions are preferred. ** We do not unfairly discriminate against any of the factors mentioned in Article 2 of the Universal Declaration of Human Rights and the ILO Convention 111, including gender, religion, and political orientation. ** Please visit booth E-67 for more information.
Do you want to work for two of the world’s leading research organisations, live in a city with extremely high standard of living, enjoy pristine beaches and sun all year round, and still carry out ground breaking Machine Learning, Robotics research to solve real-world challenges? If so, this position is for you. The Robotics and Autonomous Systems Group at CSIRO’s Data61 have been developing the state of the art multi-modal-based 3D SLAM systems that are able to be used for driverless navigation, mapping, scene understanding and manipulation of loads and objects. This project proposes to develop self-supervised learning systems to extract and use the relevant context given by strong prior spatio-temporal models (e.g. dense 3D reconstructions) as supervisory signals in training. This new concept will investigate model structures that encodes spatio-temporal data, and show rapid adaptation of models to new domains (few-shot learning) using trained embeddings layers (self-supervised, or prior data). A Fully Funded PhD position is available as a part of a research collaboration between the Robotics and Autonomous Systems group at the Commonwealth Scientific and Industrial Organization (CSIRO) and the Queensland University of Technology (QUT), in Brisbane, Australia. You will receive a tax-free scholarship of $28,000 per year for 3.5 years. Top-up of $10,000 + $5000 conference per year will be awarded to outstanding students as well. Please follow the link for How To Apply.
The Robotics and Autonomous Systems Group at CSIRO develops systems for perceiving the environment, for use in mapping, navigation and interpretation. We are looking for a Machine Learning Robotics researcher to help build on the existing expertise and develop new algorithms on self-supervised learning for 3D multi-modal robotics perception in order to enhance the perceptive ability of autonomous systems and mobile robots in natural and harsh environments. The goal is to generate and publish ideas in top-level robotics, computer vision and machine learning conferences (CVPR, ICCV, NeurIPS, ICRA, etc) as well as deployed them to the real-world systems. CSIRO Robotics team is one of the few funded teams in the DARPA subterranean challenge. Please apply via link provided.
We are looking for outstanding candidates to join our friendly, international team in one of our Amazon Development Centres. At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results. Our interns join one of our small agile teams at our development centres, launching and growing new initiatives for Amazon's global business. Your team will be involved in every aspect of the process - from idea generation, business analysis and technical design through to development and deployment across a variety of technologies - giving you a real sense of ownership. Together we build systems that meet high standards of performance and reliability and operate at massive scale. In your internship you can help Amazon rethink image optimisation: signal processing, image optimisation, including lower-level computer vision and ML. We offer internships with a science and software development focus. Job Responsibilities include · Develop prototypes stemming from scientific ideas. · Design, development and evaluation of highly innovative models for training and prediction. · Research and implement novel machine learning and statistical approaches. · Working closely with software engineering teams to drive real-time model implementations and new feature creations.
Applied Scientist DESCRIPTION Help us turn pixels into people. We are a newly established innovative Development Center in Tübingen, Germany which focuses on computer vision, machine learning, robotics and causality in diverse application fields at Amazon. If you get excited by the prospect of dealing with ambiguity, solving hard, large scale problems, working in a startup like environment and if you want to come to one of the most exciting places of the world for researching Intelligent Systems, then we have the perfect role for you. We have several open positions for different levels of experience and this is what we are looking for in the field of Computer Vision/Machine Learning: As an Applied Scientist, you will be driving projects and prototypes in the field of avatar synthesis and photo-realistic appearance. Your ideas allow a fast path to production at scale. We will furthermore need your experience and expertise in developing efficient algorithms, building tooling and helping us ask the right research questions.
WHAT YOU'LL DO As a first-class Senior researcher in the R&D team, you will take a prominent part in researching the fundamental science and algorithms that contribute to the research agenda and core portfolio of Meero. You will drive the execution of said agenda by pushing the boundaries of the state-of-the-art in Computer Vision / Deep Learning and disseminating this work on top-tier international conferences and journals. As another important dimension to your work, you will help sourcing and mentoring research engineering talents, interns and recruit and mentor PhD candidates. You will also be actively representing Meero internally and externally on conferences, meetups and expert groups. You must have an excellent understanding of the state-of-the-art in imaging technology, with a PhD in a relevant research area. Recent work on semantic segmentation, inpainting, depth-from-image, image generation or low-light imaging would be particularly desirable, proven by an excellent publication track record and PhD candidates supervision. Enjoying photography as a hobby is of course a nice-to-have. WHAT YOU'LL NEED A PhD degree with 5+ years of experience and a good core knowledge of computer vision and image processing algorithms; Deep understanding of computer vision and neural networks (CNN, RNN); Mastery of Python and/or C++; The ability to clearly communicate complex ideas, both to technical colleagues and non-technical audiences; The ability to generate creative ideas and solutions to real-world problems, based on a deep understanding of the problem domain; Strong machine learning skills; from data exploration and understanding to the development of publication-worthy machine learning based methods; Strong publication track record in computer vision and/or deep learning and active participation in the computer vision research community WHAT WE WOULD LOVE You have an interest for photography, beautiful images, visual arts... You have experience with real-time vision applications and/or embedded applications. HOW TO APPLY Please send your CV along with a copy of two of your technical papers, the desired start date, and three references to firstname.lastname@example.org and email@example.com
Link | Contact: Sonia Dahdouh | Posted on: 2019-10-23 17:01:32 UTC
An exciting opportunity to be part of an ambitious project in a fast-paced environment in the heart of Paris. We are looking for two talented senior post-doctoral research associates to join our R&D team at Meero to work on either one of these two projects: Generation of high-quality commercial grade photos from low quality user generated images Realistic object removal and addition in very high-resolution photos You must have an excellent understanding of state-of-the-art imaging technology, with a PhD in a relevant research area. Recent work on semantic segmentation, inpainting, depth-from-image, image generation or low-light imaging would be particularly desirable, proven by an excellent publication track record. Enjoying photography as a hobby is of course a nice-to-have. The successful candidates will serve a two-year term, with a possible permanent contract at the end based on the qualifications and performance. WHAT YOU'LL NEED A PhD degree and a good core knowledge of computer vision and image processing with a previous post-doctoral experience; Deep understanding of computer vision and neural networks (CNN, RNN); Mastery of Python and/or C++; The ability to clearly communicate complex ideas, both to technical colleagues and non-technical audiences; The ability to generate creative ideas and solutions to real-world problems, based on a deep understanding of the problem domain; Strong publication track record in computer vision and/or deep learning WHAT WE WOULD LOVE You have an interest for photography, beautiful images, visual arts... You have experience with real-time vision applications and/or embedded applications. HOW TO APPLY Please send your CV along with a copy of one of your technical papers, the desired start date, and two references to firstname.lastname@example.org (find me at ICCV for more information!) and email@example.com
Link | Contact: Sonia Dahdouh | Posted on: 2019-10-23 17:01:08 UTC
The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tübingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its fourth generation of Ph.D. students in spring of 2020. We seek students in areas such as · Computational Cognitive Science · Computer Graphics · Computer Vision · Control Systems · Haptics · Human-Computer Interaction · Machine Learning · Micro- and Nano-Robotics · Perceptual Inference · Robotics The participating faculty in computer vision include Zeynab Akata, Matthias Bethge, Michael J. Black, Andrés Bruhn, Andreas Geiger, Hendrik Lensch, Bernhard Schölkopf, and Jörg Stückler. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. To advance human knowledge in this domain, we need doctoral students who are curious, creative, and passionate about research to join our school. · You may join our program starting in spring of 2020. · You will be mentored by our internationally renowned faculty. · You will register as a university doctoral student and conduct research. · IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. · All aspects of our program are in English. · Your doctoral degree will be conferred when you successfully complete your Ph.D. project. · Our dedicated coordinator will assist you throughout your time as a doctoral student. People with a strong academic background and a master’s degree in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions. Admission is competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at http://imprs.is.mpg.de before midday CET on November 6, 2019. Finalists will be invited to selection interviews that will take place from January 28 to January 31, 2020, in Stuttgart and Tübingen, Germany.
We are looking for a full-time computer vision and machine learning researcher, to work in the area of visual instance-level recognition — focusing on deep-learning based approaches for embeddings, local features, indexing and related techniques. This is an area with large impact potential, ranging from academic publications to production usage within Google. Applicants should have a PhD degree (or equivalent experience) in computer science (or related field); experience in computer vision, machine learning, deep learning; good publication record. Interested candidates should email their CV to Andre Araujo.
Link | Contact: Andre Araujo | Posted on: 2019-10-23 17:00:19 UTC
We are looking for PhD or equivalent practical experience in ML/CV particularly in medical images and preferably an entrepreneurial mindset, who works well in an international team. RetinAI develops products to make research and health institutions more efficient using latest technologies in machine learning and computer vision. We build software tools to collect, organise and analyse health data from the eyes at large scales, empowering communities of healthcare professionals and patients with unique data analysis. In this environment your task will be to improve existing and develop new production-grade algorithms for the analysis of 2D and 3D volumetric data from different modalities and quality, anatomy and diseases. This can involve large scale testing, evaluation and also publishing in medical and technical conferences/journals.
Link | Contact: Sandro De Zanet | Posted on: 2019-10-23 16:59:59 UTC
The Department of Computer Science and Engineering in the College of Engineering at Michigan State University invites applicants at all ranks and in all areas of Computer Science, including those that intersect with other fields. Multiple tenure-system faculty positions are available. The Department is looking for highly motivated applicants who can complement the department’s strength and expertise. Cluster hires will also be considered. Tenure-system computer science faculty are expected to establish a vibrant, sustainable and internationally visible research program; make significant scholarly contributions to their discipline; be an effective teacher and mentor of both undergraduate and graduate students; and engage in institutional and professional service as well as public outreach. The Department has strong research programs in all major areas of Computer Science and Engineering. The department has accredited B.S. degree programs in Computer Science and Computer Engineering. There are currently over 170 graduate students and 1,400 undergraduate students in the department. Department faculty are actively involved in leading several national-level centers, including BEACON, an NSF Center for the study of evolution in action that is headquartered at MSU. MSU’s annual research expenditure is around $695M. University researchers and scholars are internationally renowned and are facilitating broad social, economic and technological impact. Candidates must have an earned PhD in computer science or a related field. If you would like to know more information about MSU and the position, please contact Prof. Xiaoming Liu during ICCV.
Tenure-System faculty position in machine learning at Michigan State University. This search is being led by MSU’s Department of Computational Mathematics, Science, and Engineering (https://cmse.msu.edu), in partnership with our Departments of Biomedical Engineering, Computer Science and Engineering, and Electrical and Computer Engineering. We are interested in exceptional candidates from all areas pertaining to machine learning and computer vision, including researchers who develop new algorithms as well as those who apply existing algorithms to novel problems in science and engineering. Applications received by November 15, 2019 will receive full consideration.
The Information Sciences Group (CCS-3) at Los Alamos National Laboratory (LANL) has an opening for an outstanding postdoctoral research associate in the areas of computer vision and machine learning for technical images. Computer vision, especially when combined with machine learning methods, has dramatically improved the ability to detect objects in images and semantically segment images for scene understanding. However, these advances have not yet automated the understanding of information contained in hand-drawn figures, technical diagrams, mathematical equations, data plots, and other images conveying technical information, because those types of images contain much less information compared with natural images. A successful candidate will engage in two or more of the following focus areas: 1) Develop computer vision algorithms for extracting information from drawings, technical diagrams and scientific plots. 2) Develop computer vision algorithms for shape matching across a wide variety of image types including photographs, drawings, diagrams, scanned historic documents, etc. 3) Develop computer vision and machine learning algorithms for image analysis (classification, object detection, segmentation, image retrieval) that require very little or no labeled training data (zero-shot, one-shot, and transfer learning; or domain adaptation); and allow end-users to quickly customize machine learning models to novel problems (model selection, interactive learning, and workflow automation). Minimum Job Requirements: - Research-level expertise in one or more of the above focus areas - Demonstrated ability to publish research in top peer-reviewed journals or conference proceedings - Strong programming skills Desired Skills: - Research-level expertise in two or more of the above focus areas - Research experience in using topological graphs for image analysis - Demonstrated ability to work in interdisciplinary project teams and learn about other fields Education: Ph.D. in computer science, computer vision, machine learning, imaging science, mathematics, electrical engineering, statistics, data science, or a closely related discipline completed within the past five years or to be completed soon prior to employment. Notes to Applicants: - In addition to submitting a CV, applicants must include a cover letter describing their research interests. - Postdoctoral appointments are for two years, with the possibility of a third year extension. Additional Details: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
The Robotic Interactive Perception group at the Faculty of Electrical Engineering and Computer Science, TU Berlin, Germany is looking for a highly motivated PhD candidate. Working Field: The PhD student will investigate novel vision-based algorithms that combine model-based and machine learning methods for scene understanding and spatial AI (motion estimation, segmentation, 3D reconstruction, etc.) using traditional cameras and novel sensors, such as event-based cameras (https://arxiv.org/abs/1904.08405). The work combines perception, optimization and control disciplines. Requirements: University degree (Master, Diploma or equivalent) in Computer Science or a related engineering subject with outstanding results; excellent knowledge of and experience with computer vision, robotics, machine learning, control, object-oriented programming and applied mathematics. Excellent written and spoken English skills. Good command of German is desirable. Start date and Duration: The successful candidate will begin on January 2020 and will have a duration of 3 years. Required documents: 1) Cover Letter with your interest and experience related to the position (one page). 2) CV: please include nationality (for visa requirements), date of birth, affiliation, skills, scientific publications, awards, research videos and/or code, professional profile(s). 3) Bachelor’s and Master's degrees and transcripts; specify your GPA (e.g. 3.8/4.0)
Link | Contact: Guillermo Gallego | Posted on: 2019-10-23 16:57:33 UTC
We are looking for a PhD student to join our Research team at Mapillary. You will be working on basic research projects in the field of object recognition and/or 3D modeling. Together with a team of motivated researchers, your goal is to develop and prototype proof-of-concept solutions for challenging machine vision problems, and we aim for publishing the results at high-impact conferences. If you want to know more visit our website or talk to us at booth E-29.
AirAsia Berhad: Asia’s leading airline was established with the dream of making flying possible for everyone. Since 2001, AirAsia has swiftly broken travel norms around the globe and has risen to become the World’s Best Low-cost Airline by Skytrax, for 11 consecutive years. Driven by the Dare to Dream spirit, we pride ourselves in being the region’s largest low-cost carrier, serving 25 countries and over 140 destinations. As we embrace new technology to become a digital travel company, we seek highly talented individuals to join us on our mission to make AirAsia a part of everyone’s travel and lifestyle. This position reports into the Data Science Centre of Excellence. The Data Science Centre of Excellence (CoE) comes under the Digital & Technology Group which is responsible for spearheading digital transformation across AirAsia. The CoE works on business and operations problems across all entities in the AirAsia Group. Key problems we solve include improving revenue and reducing costs through large-scale data federation, predictive and prescriptive analytics, state-of-the-art machine/deep learning, intelligent scheduling and optimization, and other advanced techniques. Notes: Applications without a proper curriculum vitae will not be considered. Fresh graduates without relevant coursework and project work will not be considered. A MS or PhD is strongly preferred for Senior, Lead/Manager, Principle/Senior-Manager roles. Applicants with experience using Google Cloud Platform are highly favored. Only shortlisted candidates will be notified. Experience Experience with common data science toolkits, programming languages, visualisation tools and SQL/NoSQL databases. Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc. Experience with distributed computing platforms and open-source tools and libraries. Familiar or prone to adopt design thinking methods. Able to operate under pressure and change, and balance among speed, reliability, interpretability. Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence. Experience with code versioning, code review and documentation. Experience in one or more of the following specialized areas: Machine Learning Understanding of machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision trees. Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience using Google Cloud Platform products and services. Algorithm Engineering Strong ability to implement, improve, and deploy ML and Math models in Golang or Python. Conduct systems tests for security, performance, and availability. Develop and maintain the design and troubleshooting/error documentation. Qualifications BS/MS/PhD in a Mathematics, Science or Engineering disciplines. Up to 4 yrs relevant experience beyond first degree.
Link | Contact: Xie Chao | Posted on: 2019-10-21 03:11:28 UTC
Qualcomm's Multimedia R&D and Standards Group is seeking candidates for its Computer Vision, Extended Reality and Imaging R&D teams. As the research organization of Qualcomm Technologies Inc., the group develops new algorithms and systems of computer vision, virtual reality, augmented reality and 3D imaging technologies for embedded system running in smartphones, auto and IOT devices. We are seeking candidates with strong knowledge and hands-on experience in visual signal processing, machine learning, imaging, 3D reconstruction, body and hand skeleton pose estimation. We are also seeking candidates with engineering experience in acceleration of embedded system with CPU, DSP, GPU and NPU. Candidates at different levels of experience will be considered. PHD Degree preferred or a Minimum of MS with 3+ years industry experience required in one or more of the following areas: Deep learning research of computer vision tasks Digital signal processing Computer vision algorithm Virtual reality and augment reality Imaging technology Experience in embedded and real-time system implementation Strong research and problem-solving skills and keep up with the latest findings and trends in the domain of computer vision, imaging, camera, augmented reality and virtual reality C, C++, Matlab and Python programming Sr. Engineer - Computer Vision Sr. Engineer – Extended Reality Sr. Engineer – Imaging Technology Additional skills in the following areas are a plus: Digital camera system and depth aware camera Sensors and sensor fusion 6DoF Video processing Computer architecture and real-time operating system Software design and development in embedded system Hardware design and implementation in ASIC
Qualcomm is a company of inventors that unlocked 5G ushering in an age of wireless intelligence and new possibilities that will transform industries, create jobs, and enrich lives. With 5G and other wireless connectivity, we bring the content, control, and intelligence closer to the end-user to complement the cloud. Qualcomm AI Research is looking for world-class researchers in machine learning and deep learning. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and friendly SW optimization tools to enable state-of-the-art networks to run on devices with limited power, memory, and computation. Led by world-renowned pioneering machine learning researcher, Max Welling, members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary team that has repeatedly won the major deep learning competitions, such as the ImageNet large scale visual recognition challenge and visual wake word challenge. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices. The R&D work responsibility can include the development of new fundamental methods in the following areas Conducts fundamental machine learning research to create new models or new training methods in various technology areas, e.g. deep generative models, Bayesian deep learning, equivariant CNNs, adversarial learning, active learning, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs. Drives systems innovations for model efficiency advancement on device as well as in the cloud. This includes auto-ML methods (model-based, sampling based, back-propagation based) for model compression, quantization, architecture search, and kernel/graph compiler/scheduling with or without systems-hardware co-design. Performs advanced platform research to enable new machine learning compute paradigm, e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning. Creates new machine learning models for advanced uses cases and achieve state-of-the-art performance and beyond. The use cases can broadly include audio, speech, image, video, power management, wireless, graphics, and chip design.
We are a group of entrepreneurs looking to revolutionize the media industry. We aim to disrupt how content is both created and delivered by using machine learning techniques and novel computing architectures. We are looking for passionate, talented, and creative engineers/interns with strong machine learning background to help build world-leading AI platforms and tools for media creation. As part of our team, you will have a voice at the table helping define strategic priorities and work alongside the founders to develop novel approaches to entertainment and computer vision techniques to advance media. Upon successful collaboration, there is an opportunity to join as founder with equity.
Link | Contact: Tony | Posted on: 2019-10-21 03:09:58 UTC
Samsung Semiconductor, Inc. in San Diego is searching for research engineers at all levels. Candidate will work as part of a team on research and development of algorithms and theory of machine learning. Candidate will research fundamental theoretical aspects of deep learning as well as develop novel techniques to advance the theory and practice of deep learning. Candidate can also apply the developed theory and algorithms to advance the performance of multimedia applications, such as computer vision, augmented reality, natural language processing, or speech processing. Understand state of the art machine/deep learning concepts, theory, and applications. Research algorithms and theory of learning. Develop machine/deep learning algorithms for mobile processors. Develop simulators and analyze the performance. Produce key intellectual property for machine/deep learning. See Link for Full Job Description & Requirements.
Samsung Semiconductor, Inc. in San Diego is searching for systems engineers and computer scientists for research and algorithm development. Candidate will work as part of a team on the research, system design, and implementation of algorithms for application processors and multimedia processors. Candidate will conduct research in deep machine learning techniques and find solutions for computer vision, image and video processing. Candidate is preferred to have goods hands-on experience with machine learning and deep learning algorithm development. See Link for full description & requirements.
The Remote Sensing Image Analysis (RSiM) group at the Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin, Germany is looking for highly motivated PhD candidates. The research of the PhD candidates will aim at developing innovative machine learning techniques (with a special focus on deep learning) for the analysis of big data from space. The main topics include: 1) developing deep neural network models that can overcome the data imbalance problems for satellite image classification; and 2) developing active learning methods that are applicable to the designed deep neural networks. The successful candidates will begin on January 2020 and will have a duration of 3 years. MSc degree is required in computer engineering or computer science with experience in computer vision, deep learning for image understanding. Very good command of German and English is required.
Link | Contact: Begüm Demir | Posted on: 2019-10-21 03:07:53 UTC
We are looking for an intern to join our computer vision team at Mapillary. You will be working on an R&D project to optimize Mapillary’s state-of-the-art object recognition algorithms for mobile platforms. You will be working with a team of engineers and researchers with extensive experience in computer vision, deep learning, and mobile app development. Your goal is to advance the state-of-the-art on low-cost and real-time object recognition and to collaborate with our mobile app team to develop a proof-of-concept for an on-device processing application on iOS. The result of the project can additionally lead to a publication in a high-impact computer vision conference. If you want to know more visit our website or talk to us at booth E-29.
We are looking for talented PhD students and PostDocs in Helsinki, Vaasa and Tampere. Applicants are expected to have a background that encompasses both (engineering) mathematics and programming, e.g. in Python and/or MATLAB. Previous experience on computer vision, (convolutional) neural networks and scientific publishing are valued. These positions concern autonomous perceiving and understanding of the environment, as well as image-based localization. These constitute key challenges for any autonomous or augmented reality system, especially when these functions are performed under low-quality sensor data. The research work combines machine learning, computer vision and computer engineering to develop new methods for data-driven 3D visual computing and image based localization, while considering the computational resource limitations of autonomous systems.
To feel truly immersed in virtual reality, one needs to be able to freely look around within a virtual environment and see it from the viewpoints of one’s own eyes. Full immersion requires that viewers see the correct views of an environment at all times. As viewers move their heads, the objects they see should move relative to each other, with different speeds depending on their distance to the viewer. This is called motion parallax and is a vital depth cue for the human visual system that is entirely missing from existing 360° VR video. The goal of this project is to capture the real world and recreate its appearance for new, previously unseen views, to enable more immersive virtual reality video experiences. To do this, the project aims to develop novel-view synthesis techniques using deep learning (like Flynn et al., 2019) that are capable of producing high-quality, temporally-coherent, time-varying VR video of dynamic real-world environments from one or more standard or 360-degree video cameras. Particularly important are the convincing reconstruction of visual dynamics, such as moving people, cars and trees. This experience will provide improved motion parallax and depth perception to the viewer (like Bertel et al., 2019) to ensure unparalleled realism and immersion. Funding Notes UK and EU candidates applying for this project will be considered for a University Research Studentship which will cover UK/EU tuition fees, a training support fee of £1,000 per annum and a tax-free maintenance allowance at the UKRI Doctoral Stipend rate (£15,009 in 2019-20) for a period of up to 3.5 years. References * Bertel, Campbell and Richardt, “MegaParallax: Casual 360° Panoramas with Motion Parallax”, IEEE TVCG 2019 * Flynn, Broxton, Debevec, DuVall, Fyffe, Overbeck, Snavely and Tucker, “DeepView: View Synthesis With Learned Gradient Descent”. CVPR 2019
The Imaging and Computer Vision team of Siemens Healthineers has an immediate opening in Princeton, NJ for a research intern with a focus on Computer Vision and Deep Learning. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. Our team has a strong publication record in leading journals and conferences. What are my responsibilities? • Contribute to research projects that focus on anonymization. • Advance the state-of-the-art in the field and publish the results in top journal/conference. • Fast prototyping, feasibility studies, specification and implementation. We are looking for both PhD and master level students
Link | Contact: Venkatesh N. Murthy | Posted on: 2019-10-21 03:06:02 UTC
**Title**: “Robust 3D Hand-Object Interaction” **Position**: Doctoral research position (PhD) at MPI (https://ps.is.tuebingen.mpg.de) and INRIA (http://thoth.inrialpes.fr). For an analytic description please visit: https://ps.is.tuebingen.mpg.de/jobs/phd-student-doktorand **Project**: Hands are important to humans for interacting with the physical world. In this project we use computer vision to jointly reason about interacting hands and manipulated objects. We aim to create a new generation of datasets, benchmarks and tools, using 2D/3D vision, robotics and machine learning techniques, that will automate and revolutionize the capture, analysis, control and our general understanding of hands physically interacting with objects. For related work please visit: https://ps.is.tuebingen.mpg.de/research_projects/hands-in-action **Advising & Location**: The student will be advised by Michael Black (https://ps.is.mpg.de/~black) and Cordelia Schmid (https://thoth.inrialpe.fr/people/schmid) and will collaborate closely with Dimitrios Tzionas (https://ps.is.mpg.de/~dtzionas). The main location will be Tübingen (Germany) with possible visits to Grenoble (France). **Candidate**: We seek candidates interested in computer vision, graphics, robotics and machine learning. The successful candidate will have a Master’s degree (or equivalent) in Computer Science (or related) and skills in: written and oral communication in English, Python/C++ programming, working both independently and in a team. Demonstrated experience in any of the following will be appreciated: computer vision/graphics, AR/VR, 3D simulation/game/physics engines, 3D geometry processing, numerical optimization (e.g. ceres), neural networks (e.g. PyTorch, TF), robotics (control, path planning), CUDA, GPU parallelization, etc. Prior publications, internships, industrial experience, participation in open-source projects or competitions are a plus. The PhD student (m/f/d) will receive a PhD funding contract equivalent in remuneration to pay group E13, 65% of the Collective Wage Agreement for the Public Service. An initial contract will be given for 3 years with possibility of 1 - year extension. **Application**: Only possible through IMPRS portal (https://imprs.is.mpg.de/application). Please mention Michael Black, Cordelia Schmid and Dimitrios Tzionas in your application. The deadline is November 6th 2019 11:59am CET. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
We are looking for a Computer Vision / Machine Learning Researcher, who will investigate the problem of sensor fusion (from multiple industrial-type RGB cameras, stereo-images, LiDAR, RADAR, etc.) using deep learning. The successful applicant will take ownership in developing, communicating and exchanging research insights within an academic and industrial consortium. The goal is to generate and publish ideas in top-level computer vision and machine learning conferences (CVPR, ICCV, NeurIPS, etc.). If you want to know more visit our website or talk to us at booth E-29.
It takes powerful technology to connect our brands and partners with an audience of 1 billion. Nearly half of Verizon Media employees are building the code and platforms that help us achieve that. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process 4 trillion data points a day, what you do here will have a huge impact on our business—and the world. Want in? As Verizon’s media unit, our brands like Yahoo, TechCrunch and HuffPost help people stay informed and entertained, communicate and transact, while creating new ways for advertisers and partners to connect. With technologies like XR, AI, machine-learning, and 5G, we’re transforming media for tomorrow, too. We're creators and coders, dreamers and doers creating what's next in content, advertising and technology. About Video Intelligence Platform The Visual-Intelligence group is building new Machine-learning, AI-based platforms, services and consumer experiences that reach hundreds of millions of people every day. Our products range from image and video understanding using computer vision, video stream ranking and recommendations to building new Augmented-Reality based experiences and streaming live entertainment and sports to consumer facing apps. Our team consists of innovative and enthusiastic scientists and engineers looking to revolutionize video streaming. We’re looking for product-minded researchers and engineers who can help drive new features from idea through to launch. Position Responsibilities Develop and support visual content moderation models for image and video Design and develop light-weight and high efficiency vision models that would run on the edge and on mobile-devices Design and carry out both fundamental and applied research in large-scale image and video understanding. Work closely with engineers to develop prototypes and transfer research to new products, new processes, and/or new business areas. Actively participate in the academic community and publish high-quality research. Position Impact This position will be responsible for the research and the development of some of our core machine-learning and computer-vision models that would run on Verizon Media's content as well as Verizon's 5G/MEC use cases. Computer vision has been called out as a strategic investment area for Verizon for creating differentiating business opportunities that leverage 5G and running on the MEC. Position Opportunity This position will grow as a subject matter expert owning all moderation research and models, along with specific areas of expertise for models that serve Verizon customers using the MEC, which will depend on the candidate expertise. Position Requirements Ph.D. or MS.C in Computer Vision, Multimedia, Deep Learning, Machine Learning, AI or a related field. 5+ years of research or research engineering experience in computer vision, multimedia, deep learning, machine learning, and AI methodology. Publications in top-tier conferences and journals in related fields (e.g., CVPR, ECCV, ICCV, NIPS, ICML, ICLR, etc.) a plus. Strong algorithmic problem solving and software development skills (C/C++, Python, Java, etc.). Excellent communication & writing skills Verizon Media is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Verizon Media is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (https://www.verizonmedia.com/careers/contact-us.html) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.
A unique opportunity to be part of an exciting technological challenge. The Abbas Research Lab and Rui Research Lab at the University of Minnesota are looking for a talented postdoctoral research associate to join their teams starting Fall 2019 to work on the Phase I Egg-Tech Challenge, an international competition that may lead to Phase II Egg-Tech Prize focused on technology transfer and commercialization. The postdoc must have a PhD degree in Computer Science and Engineering, Electrical Engineering, Data Analytics or related fields. Experience in machine learning is required. Additional experience in machine vision or 2D/3D imaging systems is preferred but not required. The successful candidates will serve an initial one-year term, with a possible second-year renewal based on the qualifications and performance. Review of applications will begin on November 10, 2019, and will continue until the position is filled. Required Qualifications • Ph.D. in Computer Science and Engineering, Electrical Engineering, Data Analytics, or related fields • Experience in machine learning/deep learning • Excellent oral and written communications skills Preferred Qualifications • Experience in machine vision or 2D and 3D imaging systems. • The combination of skills in electric engineering particularly 2D/3D imaging systems and machine learning is preferred.
Mapillary currently uses Structure from Motion to register multiple images of the same area together effectively fusing information from their GPS positions and reducing the location uncertainty. To improve the global positioning further, Aerial images can be used as an additional source of global positioning if one can register the ground images to them. Registering ground and aerial images is challenging because of the large change of perspective e.g. while we see building facades from the ground, we only see the roofs from the sky. In this project, we will explore techniques based on deep learning and semantics to register ground and aerial images. These can include end-to-end methods that provide the registration given the images, and also methods exploiting the geometry and semantics of the scene to find correspondences between the two views. If you want to know more visit our website or talk to us at booth E-29.
**The company Azevtec (Autonomous, Zero-Emission Vehicle Technologies) is automating 'first-mile' trucking. We simplify how large enterprises ship goods—our robotic systems automate repetitive vehicle movement and manual tasks in the world’s busiest freight-shipping hubs to enhance operational performance, reduce costs, and improve safety. Azevtec is a rapidly growing, Series-A company founded to drive the adoption of sustainable transportation and deploy autonomous vehicles responsibly. **The role: We’re searching for a talented C++ / Python software developer with experience in machine learning and/or geometric methods for computer vision. You will be responsible for creating perception approaches for classifying obstacle types (vehicle, truck, pedestrian etc) and determining the pose of objects. Building robust approaches in inclement weather. Taking responsibility for the full software engineering lifecycle: requirements, design, source code implementation, unit test, integration, and system test. **Required qualifications Bachelor’s degree in computer science and/or electrical/electronics engineering C++ expertise – either professionally or via academic coursework ROS / software for ground robotic systems Sensor processing/perception Experience working on a team in a Linux environment and targeting embedded deployment Excellent written and verbal communication skills Exceptional analytical skills Demonstrated strong leadership and people skills Sterling references **Ideal qualifications Experience with robotics software engineering, autonomous vehicle systems, computer vision, machine learning, and/or planning and controls Familiarity with, and/or prior use of: Graphical user interface (GUI) toolkits for implementation of engineering interfaces and tools Visualization/graphics frameworks, libraries, and techniques to support engineering tools FOSS libraries/frameworks such as OpenCV, the Point Cloud Library (PCL), and similar packages FOSS tools supporting software engineering, such as CMake, continuous integration packages, the Google test framework and others Python expertise – either professionally or via academic coursework Prior use of Git for software version control Experience with sockets (TCP, UDP) programming
We invite candidates to apply for Researcher/Senior Researcher/Principal Researcher/Intern Researcher positions at Wormpex AI Research. Based in Bellevue, Great Seattle area USA, Wormpex AI Research, led by Chief Scientist Dr. Gang Hua, is the research branch of a fast growing convenient store chain in Asia backed by a global capital. At Wormpex AI research, we build state-of-the-art AI technologies to facilitate new retail logistics from storefronts, warehouses to manufacture. You will be offered a rare opportunity to explore a variety of research domains, e.g. Computer Vision, Machine Learning, Deep Learning, Robotics, Operations Research, Graphics, HCI or a combination of the above. You will have the opportunities to deliver advanced AI technologies to different stage of our retail operation process, so as to empower the next generation retail business operation and shopping experiences. You will also conduct exploratory research to secure future opportunities, and publish your research work in top venues. We offer competitive package and benefits, and sponsoring legal work visa and immigration applications for eligible employees.
The departments of Pediatrics and Radiology at Boston Children’s Hospital and Harvard Medical School invite applicants for the open positions at the postdoctoral research fellow and graduate research assistant levels. The funded project involves collaboration with radiologists, radiation oncologists, neuroscientists, neonatologists, pediatricians, neurologists and psychiatrists at Massachusetts General Hospital (MGH), Boston Children’s Hospital (BCH), and Dana Farber Cancer Institute (DFCI), all affiliated with Harvard Medical School. The project involves developing and using medical image analysis and machine learning algorithms to quantify normal neurocognitive development, to integrate MRI with radiation maps and clinical data, to understand the mechanisms and to predict adverse neurocognitive outcomes in patients undergoing treatment for brain tumor during childhood. The funded project is listed here https://www.stbaldricks.org/grants-search/researcherName/Yangming/grantPeriod/current/country/US/state/MA/city/boston/page/1/. The successful candidates will be in the final years of PhD or have a PhD degree in the BME, EE, CS, Applied Maths, psychiatry, neuroscience or related fields. Experience in machine learning and medical image analysis is preferred but not required. The recruite will be named “research fellow” (postdoctoral level) at Harvard Medical School and Boston Children’s Hospital. Visiting scholars from related fields are welcome. The new member will be working closely with Dr. Yangming Ou, who is currently in the process of being promoted from an Instructor (Research Assistant Professor) to Assistant Professor of Radiology at Harvard Medical School (expectd Jan. 2020). Dr. Ou is establishing a research lab focusing on medical image, informatics and intelligence (http://www.childrenshospital.org/research/researchers/o/yangming-ou). The team is part of the Fetal-Neonatal Neuroimaging and Developmental Science Center (FNNDSC, https://www.fnndsc.org) and is also affiliated with Computational Health Informatics Program (CHIP, http://www.childrenshospital.org/chip) at BCH. Members in Dr. Ou’s team (postdoc fellows, PhD students, and research assistants) work on MRI analysis and machine learning for abnormality detection, early screening of disorders, outcome prediction, treatment evaluation, as well as neuroimaging biomarkers for typical and atypical brain development. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identify, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Link | Contact: Yangming Ou | Posted on: 2019-10-12 15:14:15 UTC
Post-doctoral research-fellow positions (2 years with possibility for extension) in computer vision and machine learning are available immediately. Topics of interest include video understanding, language and vision, pose estimation and other topics on high-level scene understanding and visual perception. Applicants should have a PhD in computer vision or a related area with a strong background in modern machine learning techniques as well as a strong publication record at first-tier CV/ML conferences and journals (e.g. CVPR/ECCV/ICCV/NeurIPS, IJCV/PAMI). Fluency in both written and spoken English is expected. Please apply by sending a single PDF a CV with a list of publications, a research statement and proposal (max 3 pages) on any of the topics indicated above or another area of computer vision and or machine learning and references from two academic referees. Opportunity to meet and discuss at ICCV.
Link | Contact: Angela Yao | Posted on: 2019-10-12 15:13:23 UTC
Since 20 years, Artefacto is an expert in virtual reality, augmented reality and 3D modeling. Within the Innovation team and under the authority of the Research & Innovation Manager, you will be involved in the upstream phases of preparing collaborative projects, national or European, and will then participate in software developments, writing deliverables and planned presentations and experimentations. Within the framework of the company's needs, you will participate in the state of the art, technological choices, prototyping of software components with the selected algorithms, while respecting the deadlines and defined quality processes (ISO 9001), with final objective to ensure the transfer of these components to other teams so that they can be industrialized and deployed in products and services. As part of the intellectual property implementation strategy, you may also be involved in mapping patentable technologies and filing them if necessary. (required skills: strong background in computer vision, artificial intelligence and sensors fusion; good knowledge on how to implement a consistent and high quality augmented reality rendering with managing occlusions, diminished reality, lighting, etc.; solid background in mathematics and geometry in space; C/C++, C#, Unity 3D, Shaders, OpenCV, etc.).
Link | Contact: Romain Cavagna | Posted on: 2019-10-11 14:12:56 UTC
Since 20 years, Artefacto is an expert in virtual reality, augmented reality and 3D modeling. Within the Innovation team and under the authority of the Research & Innovation Manager, you will be involved in the upstream phases of preparing collaborative projects, national or European, and will then participate in software developments, writing deliverables and planned presentations and experimentations. Within the framework of the company's needs, you will participate in the state of the art, technological choices, prototyping of software components with the selected algorithms, while respecting the deadlines and defined quality processes (ISO 9001), with final objective to ensure the transfer of these components to other teams so that they can be industrialized and deployed in products and services. As part of the intellectual property implementation strategy, you may also be involved in mapping patentable technologies and filing them if necessary. (required skills: strong background in implementing multi-user VR/AR immersive experiences; strong knowledge in software architecture, user interaction and rendering quality; good knowledge of scalable service platforms and data streaming; knowledge in motion capture and face tracking; C/C++, C#, Unity 3D, Shaders, Go, gRPC, etc.).
Link | Contact: Romain Cavagna | Posted on: 2019-10-11 14:12:36 UTC
Multiple positions at post-doctoral level are available in the Department of Computer Science at the University of Trento (UniTN), to work under the supervision of Prof. Nicu Sebe (http://disi.unitn.it/~sebe/) and Prof. Elisa Ricci (http://elisaricci.eu). The main research themes are: ● Theme A: Human Behavior Analysis. The activity will focus on designing novel algorithms and models for analyzing and understanding human behavior from visual data gathered by a robotic platform. Specifically, we expect the candidate to develop algorithms for behavioral cues extraction (e.g. gestures, facial expressions), human action recognition/anticipation and social interactions analysis. ● Theme B: Semantic Scene Understanding. The activity will focus on developing deep learning-based algorithms for semantic scene analysis. In particular, the research activity will focus on devising algorithmic solutions for pixel-level prediction tasks (e.g. semantic segmentation, depth estimation) and on their integration within tools for building semantic maps of indoor scenes. ● Theme C: Domain Adaptation and Continual Learning. The activity will build on previous works from the research group (Mancini et al., CVPR 2019; Berriel et al., ICCV 2019, Roy et al. CVPR 2019) and will focus on devising novel algorithms for domain adaptation and continual learning, with special emphasis on methodologies for video streams analysis. At the time of the application, eligible candidates should have a Ph.D. degree in Computer Science, Engineering, or related fields. Proven scientific track record on major computer vision and multimedia conferences/journals (CVPR, ICCV, ECCV, ACM Multimedia, TPAMI, IJCV, etc.) is a criteria for the selection as well as experience on deep learning algorithms and relevant platforms (e.g. TensorFlow, PyTorch, Theano, Caffe). The successful candidates will be offered a competitive salary commensurate to qualifications and experience. Please send the application, including a CV with publication list, brief description of research interests and names of two referees to Prof. Nicu Sebe (firstname.lastname@example.org) or Prof. Elisa Ricci (email@example.com) quoting “Postdoc in Computer Vision” in the email subject. The call will remain open until the positions are filled but a first deadline for evaluation of candidates will be November 1st, 2019. The positions are available for a minimum of one year, renewable up to three years.
Link | Contact: Nicu Sebe | Posted on: 2019-10-11 14:12:14 UTC
RESPONSIBILITIES 1. Work on improving fundamental algorithms of computer vision and Slam, understand the demands in the business scenario, promote the landing of project. 2. Work on prospective researches based on Slam、motion planning, provide guides junior researchers in exploring industry-related advanced technologies. 3. Participate in the development and implementation of employee development plans, such as mentoring teams in competitions. MINIMUM QUALIFICATIONS 1. Currently has or is in the process of obtaining a master degree or above in the fields of computer science. 2. 3+ years of working experience in well-known high-tech companies or universities. 3. Demonstrated experience in scientific research related to computer vision and Slam. 4. Skills in problem analysis, decomposition and expression; Being patient, meticulous, rigorous during working. 5. Advanced collaboration ability, being able to work closely with different groups, as well as other researchers. PREFERRED QUALIFICATIONS Experience leading a research team or being responsible to a project; First-authored publications at leading conferences or journals on artificial intelligence; Awards at leading competition on artificial intelligence.
Link | Contact: Eric.Yu | Posted on: 2019-10-11 14:11:48 UTC
RESPONSIBILITIES 1. Work on improving fundamental algorithms of computer vision and deep learning, understand the demands in the business scenario, promote the landing of project. 2. Work on prospective researches based on deep learning, provide guides junior researchers in exploring industry-related advanced technologies. 3. Participate in the development and implementation of employee development plans, such as mentoring teams in competitions. MINIMUM QUALIFICATIONS 1. Currently has or is in the process of obtaining a master degree or above in the fields of computer science. 2. 3+ years of working experience in well-known high-tech companies or universities. 3. Demonstrated experience in scientific research related to computer vision and deep learning. 4. Skills in problem analysis, decomposition and expression; Being patient, meticulous, rigorous during working. 5. Advanced collaboration ability, being able to work closely with different groups, as well as other researchers. PREFERRED QUALIFICATIONS Experience leading a research team or being responsible to a project; First-authored publications at leading conferences or journals on artificial intelligence; Awards at leading competition on artificial intelligence.
Link | Contact: Eric.Yu | Posted on: 2019-10-11 14:11:23 UTC
RESPONSIBILITIES： 1、 Work on computer vision/3D vision/image processing algorithm research and development. 2、 Participate in research and development of key algorithm platform and related tools. 3、 Improve our algorithm system on various application scenario, like Autopilot, Smart City, Smart Business, etc. and make innovation of our algorithm to face new challenges of product. MINIMUM QUALIFICATIONS: 1、 With Bachelor or degrees above, major in computer science, math, electronic engineering, etc. 2、 Proficient in coding, C or C++ are preferred. 3、 Good logical capability and software, algorithm coding ability. 4、 Good communication skills and team collaboration siprit. PREFERRED QUALIFICATIONS: 1、 ACM or other coding competition experience. 2、 Experience in related projects. 3、 Deep understanding of computer vision or image processing. 4、 Related internship or practice is preferred. 5、 Publications at leading conferences or journals on artificial intelligence
Link | Contact: Eric.Yu | Posted on: 2019-10-11 14:10:54 UTC
What you'll do: Responsible for key technologies such as face recognition, large-scale face retrieval/clustering. What we are looking for: 1. MS or above, familiar with face recognition theory and algorithms, especially for large-scale face recognition, high-concurrency facial feature retrieval; 2. Good knowledge of AI training and deployment process.Ability to work independently, interpersonal and teamwork skills; 3. Solid programming skills and strong capability with C/C++, Python programming, proficient in deep learning product performance optimization; Bonus Points: 1. With experience in Tencent Youtu, SenseTime, Face++, Sensing Tech, Baidu, Ali, Hikvision, Yitu, Dahua,etc; 2 International papers with face recognition, or competition experience in the field of face recognition such as Megaface, NIST, etc.
Link | Contact: Eric.Yu | Posted on: 2019-10-11 14:10:34 UTC
Job responsibilities 1. Responsible for the development of intelligent driving strategy algorithms and promote product landing 2. Tracking strategy algorithm research and development progress, promoting strategy algorithm performance to maintain world leading 3. Guide the team's internal technical development route to maximize team output 4. Security policy, security, stability, reusability, and scalability 5. Research new technologies related to the project Claim: 1, computer related majors, master's degree or above 2. More than five years experience in computer vision-related strategy algorithm development and design, more than three years of experience in ADAS industry development; experience with ENCAP or related industry standards is preferred. 3. Proficiency in monocular vision principles, various filtering algorithms and motion models. 4, Proficient in C++ development, familiar with Linux development; experience in embedded device development, deployment and debugging is preferred 5, Good at communication, focus on sharing, focus on teamwork, good team awareness and collaborative spirit, strong self-driven and internal and external communication skills
Link | Contact: Eric.Yu | Posted on: 2019-10-11 14:10:15 UTC
We're looking for a postdoc to perform research on and help coordinate a team of 6 PhD students working on aspects of audiovisual perception and multimodal representations, with the goal to integrate visual, audio and textual inputs towards general scene understanding, and build a virtual companion demo (i.e., "a camera you can talk to"). The candidate should have a proven track record in research (publications at top computer vision/machine learning venues), and strong communication skills.
Link | Contact: Tinne Tuytelaars | Posted on: 2019-10-11 14:09:58 UTC
SenseTime is a global company focused on developing innovative AI technologies that positively contribute to economies, society and humanity. Come and join us! As a research scientist, you will work with world-class talented researchers to design innovative algorithms related to computer vision and deep learning and build artificial intelligence solutions for vertical applications, such as video surveillance, automatous driving, mobile, retails and etc.
The operating room is a high-tech environment in which the surgical devices generate a lot of data about the underlying surgical activities. Our research group aims at making use of this large amount of multi-modal data coming from both cameras and surgical devices to develop an artificial intelligence system that can assist clinicians and staff in the surgical workflow. In this context, we currently have a new PhD position at the University of Strasbourg that will focus on developing machine learning and computer vision methods to understand the scene of the operating room, recognize the human activities, and analyze the workflow. The project will use as input multi-view RGB-D videos capturing surgical activities. As this PhD position is funded by a fellowship from Intuitive Surgical, the successful candidate will have the opportunity to interact with researchers from Intuitive Surgical and also to conduct internships at the company in Sunnyvale, California.
The candidate will be 1) responsible for video analysis and content creation in the field of live broadcasting; 2) able to do survey, innovation, implementation, and optimization in cutting-edge AI technologies. Qualifications: 1)Experience in pattern recognition/computer vision/machine learning. 2)Masters or PhD in Computer Science, Mathematics, Statistics or related fields with strong mathematics background. 3)Self-driven and strong problem solving skills. 4)Familiar in C/C++/Python, as well as CV libraries (OpenCV, Numpy) and deep learning frameworks (TensorFlow, PyTorch). 5)Proficiency in mainstream CV algorithms, hands-on experience in performance optimization is a plus. 6) Experience with generative models such as GAN, VAE, Glow, etc. is a plus. 7)Publications in top CV conferences(CVPR, ICML, AAAI, NIPS, ECCV, ICCV, etc.) is a plus.
Link | Contact: Finn Wong | Posted on: 2019-10-11 14:08:11 UTC
Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we're moving at an incredible pace: we're currently servicing employee rides in our test vehicles on the Lyft app. Learn more at lyft.com/level5. This newly formed team will develop new experimental solutions that combine the latest findings in cutting-edge computer vision, deep learning and large-scale data processing to advance the capabilities of our existing systems and to advance the state-of-the-art of the field. Responsibilities: -Work in a small, high-velocity team of engineers and researchers -Design and prototype new computer vision and deep learning solutions -Develop case studies and experimentally validate hypotheses Collaborate with AV engineering teams in productionizing systems -Advance the state-of-the-art, publish and represent Level 5 at top-tier conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA) Experience & Skills: - Hands-on deep learning experience (deep learning, reinforcement learning, GAN, autoencoders etc.) - Experience publishing at state-of-the-art conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA)
Responsibility: Responsible for research and development of CG related AI products; Contribute in the cutting-edge exploration and implementation of high quality content generation and interactive technology. Required: 1) Solid background in computer graphics and good practical abilities. 2) Experience in character rigging, motion capture, or 3D modeling. 3) Familiarity with animation software (Maya etc.). Experience of physics based animation and modeling is a plus. 4) Proficiency in C++/Python with good coding style. Experience with related libraries (OpenGL/Direct3D) is preferred. 5) Knowledge of state of the art graphics research, track record in SIGGRAPH, CVPR, ICCV, ECCV etc. is preferred. 6) Passionate about AI and CG technology, and strive for excellence.
Link | Contact: Qing Wang | Posted on: 2019-10-11 14:07:05 UTC
The Artificial Intelligence Research Centre is a new section within Group Technology and Research (GTR) established in Shanghai in early 2019. GTR currently runs seven other research programs: four are oriented towards the main industries we serve: Maritime, Oil & Gas, Power & Renewables and Precision Medicine. Three programs address cross-industry challenges: Digital Assurance, Ocean Space and Energy Transition. The new section will focus on building competence and prototypes in the area of perception AI with the aim to use machine and deep learning applied to computer vision in the industries served by DNV GL. We currently have a number of positions available. Visit our group website for details of research focus: https://www.dnvgl.com/technology-innovation/artificial-intelligence/index.html. Position Responsibilities: The successful candidate will manage and execute research projects within the Artificial Intelligence Research Centre. He/She will report to the head of the section and be responsible for the following tasks: - Develop algorithms for detecting physical industrial asset condition and anomalies and using these for enhancing audit/inspection/survey and assurance services - Enhance algorithms to handle multi-sensor input - Create or enhance existing DL algorithms to be capable of detecting patterns in images without background - Develop concepts for assurance of advanced IoT devices comprising cameras and DL algorithms - Manage and execute technology development projects - Author technical reports, scientific papers, non-technical reports and professional presentations Position Qualifications The successful candidate should have Ability to deliver project results within agreed schedules Ability to articulate work results to internal and external stakeholders Experience in software development, particularly machine learning techniques in computer vision Good command of English Master or PhD Degree in relevant area, preferably computer science Company & Business Area Description DNV GL is a global quality assurance and risk management company. Driven by our purpose of safeguarding life, property and the environment, we enable our customers to advance the safety and sustainability of their business. We provide classification, technical assurance, software and independent expert advisory services to the maritime, oil & gas, power and renewables industries. We also provide certification, supply chain and data management services to customers across a wide range of industries. Combining technical, digital and operational expertise, risk methodology and in-depth industry knowledge, we empower our customers’ decisions and actions with trust and confidence. We continuously invest in research and collaborative innovation to provide customers and society with operational and technological foresight. With origins stretching back to 1864 and operations in more than 100 countries, our experts are dedicated to helping customers make the world safer, smarter and greener. Equal Opportunity Statement DNV GL is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity!
Join our Vision Technologies and Solutions Group (VTS RG) to develop solutions to real-world computer vision problems where there is limited amount of training data for your machine learning algorithms. The CT Simulation and Digital Twin Technology Field (SDT TF) is seeking a highly motivated Master/PhD student available for an internship in the area of semi-supervised/unsupervised methods for object recognition/pose estimation and semantic segmentation. The project will involve analysis of state-of-art in academia and industry, and design of novel practical techniques to address challenging problems in autonomous systems such as autonomous driving trains or autonomous robots.
Join our Vision Technologies and Solutions Group (VTS RG) to develop solutions to real-world computer vision problems where there is limited amount of training data for your machine learning algorithms. The CT Simulation and Digital Twin Technology Field (SDT TF) is seeking a highly motivated research engineer with a focus on in the area of synthetic data augmentation for bridging realism gap. This role will involve analysis of state-of-art in academia and industry, and design of novel practical techniques to address challenging problems in autonomous systems such as autonomous driving trains or autonomous robots.
Join our Vision Technologies and Solutions Group (VTS RG) to develop solutions to real-world computer vision problems where there is limited amount of training data for your machine learning algorithms. Our team is seeking a highly motivated research scientist/professional with a focus on in the area of semi-supervised/unsupervised methods for object recognition/pose estimation and semantic segmentation. This role will involve analysis of state-of-art in academia and industry, and design of novel practical techniques to address challenging problems in autonomous systems such as autonomous driving trains or autonomous robots.
We have two postdoc positions available. One position is in computer vision (open to all research areas, solid backgrounds on low-level/mid-level vision would be a plus), the other is a joint postdoc with Prof. David Whitney @ whitneylab.berkeley.edu (interests and experience in human vision and medical image search would be a plus). The ideal candidate shall have publications at top computer vision / machine learning venues, with strong math / debugging / communication skills. Please introduce your research and career plans upon inquiries.
Apple’s Camera & Photos team is seeking highly qualified Ph.D. students for the coming summer to work on challenging problems related to computer vision and computational photography for the most popular camera in the world, iPhone. The Camera & Photos team focuses on user-experience by using computer vision and image processing through machine learning. You will be working within the Camera Technologies team on the cutting-edge camera and vision technologies for iPhones and iPads, specifically, low-level image restoration/enhancement and multiple-camera fusion with the potential to deliver the developed features into hands of millions of our customer. Key Qualifications: - In-depth expertise in computer vision and deep learning, expertise in computational photography is a plus - Strong publication in CVPR/ICCV/ECCV or other top vision/learning conferences - Good presentation skills - Passionate about building extraordinary products - Excellent programming skills in Python, C/C++ is a plus - Knowledge of common ML frameworks
Link | Contact: Feng Li | Posted on: 2019-10-05 07:27:45 UTC
Are you passionate about artificial intelligence, computer vision and health? We are seeking six PhD candidates for our new lab on AI for Medical Imaging (AIM lab), a research collaboration between the University of Amsterdam (the Netherlands) and the Inception Institute of Artificial Intelligence (United Arab Emirates). The research lab will be focused on medical image analysis by machine learning, covering active scientific topics of broad interest, including both methods and applications. Those topics range from low-level vision and data pre-processing tasks, to high-level image/video analysis tasks. From a technical perspective, we will be working on fundamental and relatively general deep learning models and algorithms, which will be applied to specific diseases, including but not limited to Alzheimer’s disease, cancer and cardiovascular diseases.
iPhone is the most popular camera in the world. The seamless integration of software and hardware has led to features like Memories and Portrait Mode which deliver experiences that are magical. The Camera & Photos team focuses on user-experience by applying computer vision and image processing through machine learning. Combining state of the art software techniques with next-generation hardware, the Camera Software team takes the mobile photography experience to the next level. Do you have deep working knowledge of media video and imaging? Do you thrive in dynamic work environments, and yearn to ship amazing products that are enjoyed by millions of people? Join Apple’s Camera GPU Performance team, to help us implement and optimize image processing algorithms on GPU using Metal. Work closely with the capture and imaging teams on implementation, integration, and optimization of vision and computational photography algorithms. An ideal candidate will have 3+ years experience working as part of a software development team, familiarity with C/C++/Objective C, Unix/Linux, embedded systems, performance optimization techniques, and/or GPU programming.
Our Mission Scape seeks to unify human-machine understanding by connecting the physical and digital world. The Role Scape is building the 3D map of the world: the platform on top of which all future industries, like Autonomous Vehicles, Robotics and Augmented Reality will sit. For this map to truly allow intelligent decision making, it will need to contain an abundance of semantic information. Our vision is that there will be a dedicated team whose sole focus is the enhancement of this feature; this process starts with the appointment of a Lead Machine Learning Engineer who we can then build this team around. You will start with the analysis and enhancement of existing solutions to fit the current use-cases. You will then be tasked with building out a data mining strategy, setting up a labelling process and assisting in the expansion of the team around you. The team will further develop a proprietary solution for semantic detection and classification and will work towards the productization and perpetual improvement of set solutions. Minimum qualifications MSc in Computer Science, Engineering or Mathematics 2+ Years industrial experience in productization of Machine Learning models A deep understanding of Convolutional Neural Networks and related problems Exceptional data mining skills and experience managing a data labelling process Great knowledge of Python and basic SQL Strong communications skills Proven track record in writing structured software from scratch Preferred qualifications PhD in Deep Learning based Computer Vision Experience leading and growing a machine learning team Experience with AWS services, including AWS SageMaker Experience with terabyte scale computer vision datasets Who we are Scape Technologies is a computer vision startup, located in Shoreditch, London. The company is building a cloud-based ‘visual engine’ that allows camera devices to understand their environment, using computer vision. Rather than rely on 3D maps built and stored locally, Scape's visual engine builds and references 3D maps on the cloud, allowing devices to tap into a ‘shared understanding’ of an environment. The first product is an SDK for mobile devices that allows augmented reality content to be anchored to specific locations, outside and at an unprecedented scale. The company was founded in 2016 and is backed by top European venture funds. Our Culture & Values Scape Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. The company celebrates being 'In it Together', 'Restless Self-Improvement' and 'Building the Future'.
Our Mission Scape seeks to unify human-machine understanding by connecting the physical and digital world. The Role As a Computer Vision Researcher at Scape you will work on Image Matching and/or Large Scale Image Retrieval with the purpose of developing novel state-of-the-art methods and publishing papers in major computer vision and machine learning conferences. You will be able to collaborate cross-functionally with a wide engineering team to analyse and extract meaning out of one of the largest datasets available in the industry. In addition, your research will have direct impact on Scape’s mapping and localization pipeline. Minimum Qualifications Minimum qualifications PhD in Computer Vision, ideally with a focus on image matching and/or image retrieval. Existing publications as a first author in top CV/ML conferences such as CVPR, ICCV, ECCV, NeurIPS. In-depth understanding of machine learning for computer vision. Proficient in Python and deep learning frameworks (e.g. Pytorch, Tensorflow). Preferred Qualifications Open source research projects published as part of PhD work. Familiarity with Git and C++ Please include a link to your publications in Google Scholar. Who we are Scape Technologies is a computer vision startup, located in Shoreditch, London. The company is building a cloud-based ‘visual engine’ that allows camera devices to understand their environment, using computer vision. Rather than rely on 3D maps built and stored locally, Scape's visual engine builds and references 3D maps on the cloud, allowing devices to tap into a ‘shared understanding’ of an environment. The first product is an SDK for mobile devices that allows augmented reality content to be anchored to specific locations, outside and at an unprecedented scale. The company was founded in 2016 and is backed by top European venture funds. Our Culture & Values Scape Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. The company celebrates being 'In it Together', 'Restless Self-Improvement' and 'Building the Future'.
Post-doctorate topic: Semi and Weakly supervised Convolutional Networks for jointly people detection and tracking In this proposal, we focus upon the problem of joint people detection and tracking in computer vision, which is a foundation stone for several applications such as health monitoring and autonomous vehicles. Most contemporary systems for people detection and tracking make use of fully-supervised techniques. One downside of fully-supervised machine learning techniques is their need for large amounts of annotated data. Data annotation is a time-consuming and costly undertaking which suffers from several technical challenges such as inter and intra-annotator variance. Thus, dependence on fully-supervised techniques is unable to take advantage of large amounts of unannotated data in the form of videos which are available easily in this digital age. In comparison to fully annotated datasets, unannotated datasets are much difficult to work with; begin devoid of any supervisory information in the form of ground-truth. One practical approach towards reducing one’s dependence on extensive annotations is to build systems, which can learn effectively from partial or incomplete annotations. There are two paradigms of machine learning, which deal with partial and incomplete annotations – semi-supervised learning and weakly supervised learning. In the context of joint detection and tracking of people, semi-supervised learning models the scenario where the training data is annotated with bounding boxes and tracking information for a subset of people (i.e. all people in an image or video are not annotated). Weakly supervised learning considers the scenario where, no bounding box or tracking information is available for any person; only a label providing information as to whether a person exists in a given frame or not is provided. A potential solution to these two scenarios has major ramifications as they preclude a complete and exhaustive annotation of large amounts of data. This translates into major cost savings, not to mention access to a practical way to harness large amounts of unannotated data available. http://univ-cotedazur.fr/institutes/3ia/3ia-post-doc-offers-offres-de-postdoc-3ia
The successful applicant will apply machine learning and other AI methods to large datasets of naturalistic data to solve traffic safety issues, typically related to human factors in automation. The post-doc will have the unique opportunity to work in three different research groups at three different departments within Chalmers to carry over this interdisciplinary project where behavioral science, machine learning, and video analysis come together to improve transport. This post-doc will develop and apply artificial intelligence algorithms to large naturalistic datasets in order to analyze and model how driver behave in traffic in safety-critical and non-safety-critical situations. Large part of the work will include the extraction and analysis of human behavior from video including, as an example, posture, glance behavior, and secondary tasks to driving.
We are interested in representation learning, especially learning features from images and videos. Representation learning is one important aspect of deep learning and machine learning, and good representations of input data are essential for the generalization ability, interpretability and robustness of machine learning methods.
AI Singapore (AISG) is a national programme launched by the National Research Foundation (NRF). It brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts. As an AI Scientist or Scientific Officer, you will conduct desk research to identify and propose research domains and topics of significant impact and priority. Working in close interaction with academic researchers and industry partners, you will assist AI Singapore leadership in shaping future grant programmes as well as reviewing and evaluating proposal submissions. You will also have the opportunity to engage in state-of-the-art research and contribute to the development of open source systems.
Qualifications: A postdoctoral fellow is now available for a qualified candidate in the Sung Lab, Magnetic Resonance Research Labs (MRRL), Department of Radiological Sciences, UCLA. We are looking for a highly motivated individual to conduct research in the area of Machine Learning and/or Image Analysis for detecting and diagnosing prostate cancer. Our current projects include 1) semi-supervised MRI-based prostate cancer prediction with deep generative learning, and 2) improved correlation of prostate multi-parametric MRI with histologic findings. The specific project will be determined based on the interests of the mentor and candidate. The successful candidates will participate in all stages of investigation including theoretical advancements, experimental design, and data collection and analysis. The position requires strong verbal and written communication skills, and the ability to interact with others with diverse areas of expertise. Requirements: We seek highly qualified individuals who are highly motivated, flexible, detail-oriented, collaborative, and hold a commitment to research excellence. Candidates should have a recent PhD (or soon-to-be conferred) in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field and have strong experience in at least one of the following areas: machine learning, deep learning, or image analysis. Candidates with previous research experience working with medical images are highly desirable but not required. Environment: Magnetic Resonance Research Labs (MRRL) in the Department of Radiological Sciences at the University of California Los Angeles has six faculty members and more than 30 staff, students, and postdoctoral fellows. MRRL has access to three clinical research Siemens MRI systems (3T Prisma, 3T Skyra and 1.5T AvantoFit systems), as well as a dedicated research-only MRI facility (3T Prisma system). For more information, please visit http://mrrl.ucla.edu/sunglab/ To apply, email a single PDF-file containing the following: curriculum vitae (CV), statement of research experience and interests, and contact information for two references with the subject heading “Postdoctoral Fellow” to: Kyung Sung, Ph.D. (KSung@mednet.ucla.edu). Salary will be based on University guidelines for postdoctoral fellows and will be commensurate with experience. The University of California is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: UC Nondiscrimination & Affirmative Action Policy.
We are a fast-growing autonomous driving startup. We aim to accelerate the development of autonomous driving technologies by more effective ways of using data and doing test. We are a team of innovators in practice. We are looking for passionate, talented, and creative engineers/researchers/interns with strong computer vision background to help build world-leading AI platforms for autonomous driving. As part of our AI team, you will work alongside an all-star team to develop novel algorithms and computer vision techniques to advance the state-of-the-art in visual perception and robotics. You’ll learn new technologies while working on code, algorithms, and research in your area of expertise and in the new area that you are willing to explore. If you are passionate about autonomous driving and believe computer vision can do many more things than now, then you must apply!
We are a fast-growing autonomous driving startup. We aim to accelerate the development of autonomous driving technologies by more effective ways of using data and doing test. We are a team of innovators in practice. We are looking for passionate, talented, and creative engineers/researchers/interns with strong machine learning background to help build world-leading AI platforms for autonomous driving. As part of our AI team, you will work alongside an all-star team to develop novel algorithms and machine learning techniques to advance the state-of-the-art in visual perception and robotics. You’ll learn new technologies while working on code, algorithms, and research in your area of expertise and in the new area that you are willing to explore. If you are passionate about autonomous driving and believe machine learning can do many more things than now, then you must apply!
This research intern position is offered at the STARS team in INRIA, Sophia Antipolis. This position is offered for a period of 6 months with a focus on large-scale object detection. For more information about the position and for instructions to apply, please click on the link to the Google docs and follow the instructions therein.
We are seeking a highly motivated post-doc researcher in the field of computer vision and machine learning. Candidates with a strong record of accomplishments in computer vision and machine learning are encouraged to apply. Apply by sending an e-mail to
As a research scientist at CosmicBC, you will build ML models and algorithms to perform many investment tasks to achieve improvement in terms of return. We are looking for the AI researchers interested in developing new theories and algorithms on the following areas: Unsupervised / semi-supervised / self-supervised learning Meta-Learning: few-shot learning Domain adaptation / knowledge transfer Deep Reinforcement Learning Time-series Analysis Quantitative investment
To work on recovery of hand pose from images
Link | Contact: Liu Ying | Posted on: 2019-09-29 16:22:05 UTC
The Bradley Department of Electrical and Computer Engineering at Virginia Tech seeks applications for one or more tenured/tenure-track positions in Computer Engineering, at the rank of Assistant or Associate Professor, specifically in the area of machine learning for autonomous systems, including (but not limited to) deep learning, knowledge representation & reasoning, reinforcement learning, reasoning under uncertainty, and their applications to perception in robotics and autonomy that is terrestrial, space-based or naval in scope. This position(s) will be based in Blacksburg, Virginia or the Greater Washington, DC, metro area.
Design, implement and validate algorithms to support robust and scalable mapping pipelines for Argo’s self-driving cars. In addition, you will also design and implement necessary metrics and tools
Description: The Mathematical Data Science Lab under Prof. Ehsan Elhamifar at Northeastern University's Khoury College of Computer Sciences is inviting applications for Postdoctoral Researchers. We are seeking highly motivated postdoctoral researchers with strong background and interests in computer vision and machine learning to join our group in a quest to perform breakthrough research on approaches that advance the following projects. Projects in computer vision include procedure learning from instructional videos, large-scale image and video recognition with no/few labels, and structural deep learning for weakly supervised segmentation and recognition. Projects in machine learning include structured dynamic data summarization, streaming multi-label zero-shot and few-shot learning, and scalable discrete optimization algorithms for robust machine learning. Qualifications: A recent Ph.D. in Computer Science, Electrical and Computer Engineering, Statistics, or related fields. Expertise in machine learning and/or computer vision and strong skills in Python, MATLAB, PyTorch/TensorFlow. Start Date and Duration: The preferred start date is January 2020. The position is for one year, with the possibility of extension up to three years. Salary would be commensurate with experience. Applications: 1. Please email a cover letter and a CV to e.elhamifar [at] northeastern [dot] edu as a single PDF file with the string "[MLCV Postdoc]" at the beginning of the subject line. 2. Arrange for reference letter to be sent directly to e.elhamifar [at] northeastern [dot] edu. For questions about the position and applications, please contact Dr. Elhamifar (e.elhamifar [at] northeastern [dot] edu).
UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-part companies to win. UII America, Inc. is building a world-class research and development team in Cambridge, MA. We have an immediate opening for a Computer Vision Research Intern who can work full-time/part-time with the following qualification requirements: Currently pursuing an MS or PhD Degree in Computer Science, Computer Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or other related fields; Self-motivated and demonstrated problem solving and critical thinking skills; Familiarity with at least one mainstream deep learning toolkit, e.g., Pytorch, Tensorflow; Experience using Python and OpenCV; Proven track record of publications in the top computer vision venues is a plus; Experience with 6D pose estimation or 3D visual data processing is a plus; Good communication skills and team-work spirit.
Link | Contact: Ziyan Wu | Posted on: 2019-09-28 15:25:28 UTC
UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-part companies to win. UII America, Inc. is building a world-class research and development team in Cambridge, MA.