Job Board

Postdoc in CV/ML

A postdoctoral associate position is available in the Department of Computer and Information Sciences in the College of Science and Technology at Temple University. 

For this position, supervised by Richard Souvenir, we welcome applicants with a focus on computer vision, machine learning or related areas.  

The successful candidate will complement the existing team of researchers and have the opportunity to lead projects that investigate image retrieval, representation learning for images, and/or the societal impacts of computer vision algorithms.

The key responsibilities are to:

  • help lead group research projects in CV and ML;
  • contribute to research publications and proposals;
  • communicate effectively with interdisciplinary collaborators; and
  • guide and supervise junior researchers.

The ideal candidate would have: 

  • a Ph.D. in computer science or related fields;
  • excellent written and communication skills; and
  • experience publishing in CV or ML venues such as CVPR, ICCV, WACV, AAAI, or NeurIPS

Application: Candidates should submit their cover letter, current CV, and three references (one reference should be from the candidate's doctoral supervisor).The position is available immediately, and we will accept applications until the position is filled. The initial appointment is for one year, with renewal dependent on continued funding. Contact: If you have any questions, feel free to contact souvenir@temple.edu

Temple University College of Science and Technology is an equal opportunity, equal access, affirmative action employer committed to achieving a diverse community (AA, EOE, m/f/d/v).

More info | Contact: Richard Souvenir | Posted on: 2023-01-04

Computer Vision Researcher

Team Description: 
Our computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions.  We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME (viametoolkit.org) and Telesculptor (telesculptor.org).
 
About the Projects: 
Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations.  Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real world problems. In this case, you will have the opportunity to contribute your skills to projects focused on national security, making a difference on a daily basis to protect our country. Research and Development Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you’ve used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build.

In This Position You Will:
- Develop robust solutions in the areas of object based detection, feature detection, motion pattern learning and anomaly detection
- Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
- Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications:
- PhD in Computer Science or related field
- Strong publication record in top-tier research publications and conferences
- Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
- Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
- Candidates should include a detailed list of publications as part of their resume/CV

Preferred Qualifications:
- Experience with deep learning methods is desirable, but not required
- Experience with geospatial coordinates systems and transformation is desirable, but not required

Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions and many others. 

Kitware is proud to be 100% employee owned, and Great Place to Work-Certified™. 

Additional Information:
Kitware is proud to be a 100% employee-owned company. Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

More info | Contact: Roxanne Little | Posted on: 2023-01-01

3D Computer Vision Researcher

Team Description: 
Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions.  We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as  Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV); and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities and maintains active involvement in major vision conferences.

About the Projects: 
Kitware’s 3D computer vision team develops algorithms and open source applications for photogrammetry: reconstructing 3D models of objects from images and video. Current 3D projects have an emphasis on aerial and satellite imagery sources, but capabilities are often adapted to other problem domains. These projects have created and continue to support the development of TeleSculptor, an open source application for aerial 3D reconstruction built on KWIVER, and Danesfield, an open source Python framework and web application for urban 3D modeling from satellite imagery. Our 3D vision research projects support the continued development of these tools, development and publication of new cutting edge 3D reconstruction and camera calibration algorithms, and opportunities to leverage 3D vision to assist with broader computer vision topics. The team is exploring how 3D vision algorithms can aid in object detection and tracking, change detection, super resolution, video compression, super resolution, and various other problems. We frequently explore opportunities to adapt our work to new customers with new challenges and new data domains such as underwater imagery or synthetic aperture radar.

In this Position You Will:
- Conduct research and develop solutions for problems related to camera calibration, registration, and 3D reconstruction from images
- Contribute to the development of open source software such as TeleSculptor, KWIVER, or Danesfield
- Collaborate with other researchers to brainstorm ideas and peer review work
- Prepare and present research findings to customers and collaborators
- Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
- Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications: 
- PhD in Computer Science or related field
- Experience using multiview geometry to develop algorithms for building 3D point clouds or meshes from imagery or video
- Experience with good software development practices and proficiency in C++ or Python or both.
- Strong publication record in top-tier research publications and conferences such as CVPR, ICCV, and ECCV.
- Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
- Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
- Candidates should include a detailed list of publications as part of their resume/CV

Preferred Qualifications:
- Experience with deep learning methods is desirable, but not required
- Experience with geospatial coordinates systems and transformation is desirable, but not required

Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions and many others. 

Kitware is proud to be 100% employee owned, and Great Place to Work-Certified™. 

Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

More info | Contact: Roxanne Little | Posted on: 2023-01-01

Research Intern

The Visual Intelligence team at Yahoo is looking for a research intern for the Summer of 2023. Our team's main focus is on multimodal image and video understanding, though we also contribute to our products by building solutions for image editing and enhancement, image ranking, and video recommendation, among others. Our work allows Yahoo to process multimedia assets at scale, making it possible to deliver the best content and experiences to our users across our entire ecosystem. If contributing to research in these areas sounds interesting to you, please apply at the following link!
https://ouryahoo.wd5.myworkdayjobs.com/careers/job/United-States-of-America---Remote/Research-Intern--Visual-Intelligence_JR0021514

More info | Contact: Joao Soares | Posted on: 2023-01-01

Research Intern

The Visual Intelligence team at Yahoo is looking for a research intern for the Summer of 2023. Our team's main focus is on multimodal image and video understanding, though we also contribute to our products by building solutions for image editing and enhancement, image ranking, and video recommendation, among others. Our work allows Yahoo to process multimedia assets at scale, making it possible to deliver the best content and experiences to our users across our entire ecosystem. If contributing to research in these areas sounds interesting to you, please apply at the following link!
https://ouryahoo.wd5.myworkdayjobs.com/careers/job/United-States-of-America---Remote/Research-Intern--Visual-Intelligence_JR0021514

More info | Contact: Joao Soares | Posted on: 2023-01-01

Senior Software Engineer - Computer Vision & Deep Learning

Who are we looking for? 

We’re looking for a world-class senior software engineer in computer vision and deep learning. You’ll be a hands on, creative problem solver with the technical skills and hunger to build a novel technology solution. As one of the first employees, you will have an opportunity to shape Aistetic. You’ll be a vital member of our team leading the commercial coding and development of our state of the art algorithm and model.  You’ll be used to and enjoy working with large data sets, agile processes, customer involvement, and frequent technical and consumer testing. You’ll launch, run and monitor our development, working closely with our team of engineers (computer vision and full stack).

Requirements

• You’re fluent in Python and may have experience in C++, PyTorch, Tensorflow, OpenCV, MATLAB

• You have experience and/or education (PhD) in Computer Vision, Deep Learning, Machine Learning, Artificial Intelligence, Computer Graphics, Design & Analysis of Algorithms

• You have hands on software engineering experience in a fast-moving and innovative industry

• You are curious to learn, go straight in, enjoy getting stuff done and discovering how things work

• You’re excited about being part of a high performing, self-organising team on a pioneering mission

• You are collaborative and able to translate technology into robust commercial solutions

Bonus Skills

• Experience with GCP, AWS, or a similar cloud platform

• A working knowledge of Linux build tools, with experience across the full software development lifecycle

• An appreciation of solutions architecture and enterprise software requirements

• Start-up experience

Benefits

•Join a fast paced start up on a mission to build the solution and future of retail shopping

• Benefit from working closely with our founders who have previously run large businesses, launched successful innovation and started tech companies

• Work closely with world-class engineers, researchers at the University of Oxford’s Torr Vision Group http://www.robots.ox.ac.uk/~tvg/

• Have an immediate impact on a smart, growing, low-ego multi-cultural team

• Grow with us as we scale up whilst delivering meaningful work that really matters

• Enjoy a competitive rewards package: salary. private health insurance, pension and equity incentive scheme.

• Aistetic has a flexible Workplace Policy: all employees are currently working from home. This will be reviewed and maintained in accordance with government and public health guidance to reduce the risk to our people’s health. 

Aistetic is committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all. 

Please email careers@aistetic.com with your cv telling us why you would like to join us. 

More info | Contact: Duncan McKay | Posted on: 2022-12-30

University of Oxford, 2 x Postdoctoral Research Assistant in Machine Learning

We are seeking two Postdoctoral Research Assistants in Machine Learning to join Professor Torr’s research group at the Department of Engineering Science (central Oxford). The group is an internationally leading research group that has numerous scientific awards and has close links with some of the top industrial research labs, more information can be found here https://torrvision.com/. The posts are fixed-term for 2 year in the first instance with funding provided by the EPSRC.
 
You will be responsible for the development and implementation of novel computer vision and learning algorithms for reliable, robust, and efficient deep neural networks.
 
You should hold a PhD or DPhil (or be near completion of) in Computer Vision or Machine Learning. You should also have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.
 
Informal enquiries may be addressed to philip.torr@eng.ox.ac.uk.
 
The University offers a comprehensive range of childcare services and has very generous maternity, adoption, paternity, shared parental leave schemes in operation. Requests for flexible working are always taken into consideration. We offer an enhanced entitlement to 38 days’ annual leave per year (pro-rata for part-time staff), inclusive of bank holidays and fixed closure days. Additional long service leave is available after 5 years’ service. An additional scheme enables staff to request to purchase up to ten additional days’ annual leave in each holiday year. Other staff benefits can be found here https://hr.admin.ox.ac.uk/staff-benefits
 
Only applications received before midday on the 16th February 2022 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
 
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=155286
 

More info | Contact: Joanna Zapisek | Posted on: 2022-12-30

Computer Scientist at SRI International

SRI International creates world-changing solutions to make people safer, healthier, and more productive. SRI’s Center for Vision Technologies (CVT) at Princeton, NJ offers end-to-end vision solutions that translate into real-world applications. Our center is a leader in computer vision solutions for defense, security, and the training marketplace. Our scientists pioneered real-time, real-world computer vision with the early development of pyramid/wavelet processing that enabled analysis with unprecedented speed and precision. They continue today with a broad array of advances in visual navigation, 3D scene modeling, and object and activity recognition.

The Vision & Robotics Lab in CVT is currently searching for a Computer Scientist to work on projects that aim to create next generation deep learning technologies, with large-scale applications.  You will also help develop algorithms, software, and applications in areas such as Multi-Modal Target Detection or Classification, Visual Localization, and Geo-Search and Registration. 

Additional Responsibilities of the position include: 
•    Ability to provide innovative algorithms with high-quality implementation skills. 
•    Work effectively in a team to achieve the goals of projects and deliver software and systems to external clients.

Qualifications:
•    PhD or Masters in Computer Science, Electrical Engineering, or related fields.
•    Experience with implementing Deep Learning algorithms for computer vision applications is required.
•    Experience in at least one of the following areas: Metric Learning, Representation Learning, Neural Embeddings, Deep Reinforcement Learning, Lifelong Learning, Target Detection and Classification.
•    Experience with real-time systems is considered a plus.  
•    Experience with remote sensing such as RADAR or hyperspectral imaging is considered a plus.
•    Due to government project requirements, the preference for this position is US citizen or US permanent resident. 

Please email your resume to han-pang.chiu@sri.com if you are interested.

Best,

Han-Pang Chiu, Ph.D.
Technical Director
Scene Understanding and Navigation
Center for Vision Technologies
SRI International
Princeton, NJ, USA
 

More info | Contact: Han-Pang Chiu | Posted on: 2022-12-30

Sr. Research Scientist, Vision and Robotics

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-party companies to win. UII America, Inc. is building a world-class research and development team in Cambridge, MA.

We have an immediate opening for Sr. Research Scientist in the field of computer vision and robotics with the following qualification requirements:


Qualification & Requirements:

-PhD Degree in Computer Science, Electrical Engineering, Systems Engineering, or related field;
-5+ years of experience in research and development in 2D/3D Computer Vision or Robotics;
-Strong knowledge in state-of-the-art computer vision, machine learning and robotics technologies;
-Strong programming skills with at least one programming language such as C++ and Python.
-Proven experience in conducting cutting edge research with successful outcome;
-Proven track record of publications in top-tier conferences and journals in Computer Vision, Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, etc.);
-Ability to develop practical solutions to challenging problems;
-Strong writing, communication, and cross discipline collaboration skills;
-Extensive experience and knowledge in Deep Learning and AI-related technologies;
-Familiarity with deep learning frameworks such as Tensorflow and Pytorch;
-Experience with OpenCV, ROS, PCL or VTK is a plus;
-Experience with RGBD sensors is a plus;
-Experience with embedded systems and edge-based AI systems is a plus;

Main Responsibilities:

-Research and develop computer vision and robotics algorithms;
-Extend and improve company's existing algorithms and libraries;
-Work closely with colleagues and management to develop company assets in computer vision and robotics;
-Conduct cutting-edge research and transfer research results into practical product solutions;
-Establish strong relationship with potential customers and clinical partners;
-Collaborate with other team members and contribute to a nice team-working environment;
-Be ambitious to lead the changes in future Healthcare with innovations.
 

More info | Contact: Ziyan Wu | Posted on: 2022-12-30

Postdoc and PhD Positions at ETS Montreal

Applications are invited for post-doctoral researchers and Ph.D. students in deep learning applied to affective computing (eHealth), video recognition, and medical image processing.  Candidates will work at the Laboratory of imaging, vision, and artificial intelligence (LIVIA), ETS Montreal. These funded positions are available immediately and offer a competitive salary. It also offers a possibility for collaborations-internships with top research companies and institutions in Montreal and abroad.
 
We are looking for highly motivated candidates who are interested in performing cutting-edge research on machine learning algorithms, with a particular focus on deep learning models (e.g, auto-encoders, convolutional and recurrent neural networks) for domain adaptation, information fusion, and weakly-supervised learning. Prospective applicants should have the following profile:
- strong academic record with an outstanding M.Sc./Ph.D. in computer science, applied mathematics, or electrical engineering, preferably with expertise in one or more of the following areas: machine learning, computer vision, pattern recognition, artificial intelligence;
- good mathematical background;
- very good knowledge of English
- good programming skills in languages such as Python, with knowledge of deep learning frameworks;
- strong publication record in major conferences or journals in computer vision and machine learning.
 
Application process: For consideration, please send your CV, research statement, names and contact details of two references, transcripts, a link to your Ph.D. thesis, as well as relevant publications to Eric Granger: eric.granger@etsmtl.ca
 
Eric Granger, ing., Ph.D.
Professor and Director of the LIVIA
Department of Systems Engineering
ETS Montreal, Université du Québec
1-514-396-8650
eric.granger@etsmtl.ca

More info | Contact: Eric Granger | Posted on: 2022-12-30

Postdoctoral Research Fellow

The Clinical Informatics in Intensive Care Laboratory at Mayo Clinic in Rochester, MN is looking for a motivated post-doctoral fellow.  This opportunity to perform Computer Vision projects applying to real hospital scenarios. 
We are looking for someone who has background and experience in machine learning / deep learning algorithms applied to Computer vision applications such as automatic face recognition, and interpretation of the expression. Have experience using computer vision frameworks (YOLO, TensowFlow, OpenCV, etc). Use link to apply or check for more info.

More info | Contact: Vitaly Herasevich, MD, PhD | Posted on: 2022-12-30

Research Intern, Computer Vision

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-party companies to win. UII America, Inc. is building a world-class research and development team in Cambridge, MA.


We have immediate openings for Computer Vision Research Interns with the following qualification requirements:

-Ph.D./M.S student in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or other related fields;
-Self-motivated and demonstrated problem solving and critical thinking skills;
-Familiar with at least one mainstream deep learning toolkit, e.g., Pytorch, Tensorflow;
-Familiar with Python, C++ and OpenCV;
-Proven track record of publications in the top computer vision and machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, TPAMI, and IJCV is a plus;
-Experience with 6D pose estimation or 3D visual perception is a plus;
-Excellent communication skills and team-work spirit.

Main Responsibilities

-Conduct top-tier research in the area of Computer Vision in a collaborative team-working environment;
-Working closely with full-time employees to come up with, implement, and verify research ideas;
-Fast prototyping, and developing cutting edge AI assets for the company;
-Contribute to intellectual properties, strong publications and transferring technologies into practical product solutions;
-Be ambitious to change future Healthcare with innovations.

More info | Contact: Ziyan Wu | Posted on: 2022-12-30

Postdoctoral Fellowship in Canada

The Computer Vision Laboratory at Toronto Metropolitan University is looking for a Postdoctoral Fellow in the broad areas of computer vision and machine learning/deep learning. The ideal candidate should have a Ph.D. in a related area with demonstrated ability to conduct high-quality research in computer vision and machine learning and have a track record of publications in top venues. The position is for two years with a possibility for renewal. Please refer to the website for details: https://www.cs.ryerson.ca/~wangcs/jobs.html

More info | Contact: Guanghui Wang | Posted on: 2022-12-30

Senior/Lead Research Scientist – AI, Computer Vision, Machine Learning

Senior/Lead Research Scientist – AI, Computer Vision, Machine Learning

BlueHalo (Rockville, Maryland) has an open full-time position for a Research Scientist or a Senior/Lead Research Scientist (based on education & experience) in AI, computer vision, machine learning, data science and geospatial analytics.  We are looking for an outstanding self-motivated researcher. You will be working with a highly multi-disciplinary team of scientists and engineers to conduct R&D in the fields of video analytics, machine learning, remote sensing, robotics perception and AI. 

  

We have active research and development projects where we design, integrate, test, and deploy state-of-the-art systems for a range of applications, including image and video analytics, artificial intelligence, geospatial analytics, perception for autonomous systems, healthcare, training, and simulation. 

  

The desired candidate should have extensive experience in computer vision particularly in these areas: deep learning, object detection, tracking, classification, remote sensing, segmentation, data fusion, self-supervised learning, and robotic vision.

 

A solid background in programming is very important in this role. 

  

CITIZENSHIP / VISA STATUS: Applicant must be a US Citizen

  

JOB DUTIES  

    Conduct research and development in the area of AI, computer vision, machine learning and data science 
    Design and develop innovative computer vision and machine learning algorithms  
    Interact with multiple research groups and collaborate with universities on research 
    Support project management, explore new opportunities, and lead technology development in new areas 

REQUIRED EXPERIENCE & EDUCATION  

    Bachelor, Masters or Doctorate degree in computer science, electrical engineering, computer engineering, mathematics, or another related field 

DESIRED SKILLS 

    Proficiency in Python, C++, or MATLAB 
    Creativity and problem-solving skills 
    Minimum 3 years of experience with computer vision or machine learning techniques 
    Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow. 

 
US Citizenship required

More info | Contact: Pat McVicker | Posted on: 2022-12-30

Research Scientist in Deep Generative Modeling (f/m/div.)

We conduct research on state-of-the-art deep generative models that are used to enable real-world Bosch systems to be data-efficient and safe. We are looking for a research scientist to support us both in academic research activities and in transferring those results to real-world systems.

The goal of this position is to work on problems such as developing new learning algorithms for generating better training datasets, making algorithms robust, reliable, and safe when learning even from limited/biased datasets, understanding where the models fail, and investigating algorithms for online adaptation in a self-supervised manner. This includes work on (but not limited to):

- Use of generative models for data augmentation and validation: generation of synthetic data using both computer graphics and image-synthesis with generative models (i.e.,  GANs, diffusion models), as well as techniques for domain transfer.
- Adversarial learning for data augmentation, robust training, and imbalance learning.
- Continual learning.

More info | Contact: Anna Khoreva | Posted on: 2022-12-30

Research Scientist – Computer Vision, 3D Reconstruction, Graphics, Rendering

Research Scientist – Computer Vision, 3D Reconstruction, Graphics, Rendering
 
BlueHalo (Rockville, Maryland) has an open full-time position for a Research Scientist or a Senior Research Scientist (based on education & experience) in computer vision, 3D reconstruction, graphics, and 3D rendering.  We are looking for an outstanding self-motivated researcher. You will be working with a highly multi-disciplinary team of scientists and engineers to conduct R&D in the fields of computer vision, large-scale 3D scene reconstruction, and high-fidelity rendering.
 
We have active research and development projects where we design, integrate, test, and deploy state-of-the-art systems for a range of applications, including image and video analytics, artificial intelligence, perception for autonomous systems, healthcare, training, and simulation.
 
The desired candidate should have extensive experience in computer vision particularly in the areas of camera calibration, 3D reconstruction, SLAM, in-painting/out-painting, computer graphics, neural rendering (NeRF), generative model and synthetic image generation. A solid background in programming is important.
 
CITIZENSHIP / VISA STATUS
•    Applicant must be a US Citizen or US Permanent Resident (Green Card Holder)
 
JOB DUTIES 
•    Conduct research and development in the area of AI, computer vision, 3D reconstruction and rendering
•    Interact with multiple research groups and collaborate with universities on research

DESIRED SKILLS
•    Proficiency in Python, C++, or MATLAB
•    Creativity and problem-solving skills
•    Experience in software architecture and code optimization for efficient SLAM and 3D graphics
•    Minimum 2 years of experience with geometric computer vision and 3D reconstruction techniques
 
REQUIRED EXPERIENCE & EDUCATION 
•    Bachelor, Masters or Doctorate degree in computer science, electrical engineering, computer engineering, mathematics, or another related field

More info | Contact: Pat McVicker | Posted on: 2022-12-30

Research Engineer in Synthetic Data Generation and Augmentation (f/m/div.)

We conduct research on state-of-the-art deep generative models that are used to enable real-world Bosch systems to be data-efficient. We are looking for a research engineer to support us both in academic research activities and in transferring those results to real-world systems.

The goal of this position is to develop new learning algorithms for generating better training datasets, making algorithms robust, reliable, and safe when learning even from limited/biased datasets. In particular, the focus is on the use of generative models for data augmentation: generation of synthetic data using both computer graphics and image-synthesis with generative models (i.e., GANs, diffusion models, neural rendering), as well as techniques for domain transfer.

More info | Contact: Anna Khoreva | Posted on: 2022-12-30

Postdoc on Deep Learning Perception

The postdoc candidate is expected to work on 3D perception problems for challenging indoor/outdoor environments with data-efficient deep learning approaches, and develop research-level codes on multi-modality embedded systems. The position has opportunities to deliver real-world impact on sports analysis, autonomous machines, and smart homes.

Minimal Requirement:
1. Ph.D. degree in Computer Science (CS), Electrical Engineering (EE), or Electrical and Computer Engineering (ECE)
2, One first-author paper in one of the following recent (2019-Present) conferences: CVPR, ICCV, ECCV, NeuIPS, AAAI or ICRA

Preferred Experience:
1. Deep learning solutions (Pytorch and OpenCV) on monocular 3D perception tasks for bounding boxes, body meshes, depth, and point clouds.
2. Distillation/compression algorithms for real-time inference on multi-modality embedded platforms, such as Nvidia Xavier, Xilinx FPGA, or Raspberry Pi.

Official Application URL: https://cmu.wd5.myworkdayjobs.com/CMU/job/Pittsburgh-PA/Postdoctoral-Fellow_2014751

Interested applicants are also welcomed to contact the supervisor by email (Dong Huang, donghuang@cmu.edu) with email subject “Postdoc 2022 at DeLight_YOURNAME”. 
 

More info | Contact: Dong Huang | Posted on: 2022-12-30