Publisher
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Texas A&M University

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Research Associate in Computer Vision and Multi-Person Motion Tracking Texas A&M University in United States

Degree Level

not provided

Field of study

Computer Science

Funding

Temporary/casual staff role that is grant funded; future employment may be contingent upon future funding. Salary is commensurate with education and experience.

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Country

United States

University

Texas A&M University

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Keywords

Computer Science
Computer Vision
Robotics
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About this position

Research Associate at Texas A&M University in College Station, Texas, United States.

This position is in the College of Performance, Visualization & Fine Arts and focuses on computer science, computer vision, multi-person motion tracking, video analytics, and sports-event video research. The selected researcher will help build and deploy research software for tracking players in videos captured by uncalibrated cameras, map motion to field or court coordinates, and support tactical analysis and prediction workflows.

Key responsibilities include developing and integrating research code, improving tracking robustness under camera motion and occlusion, testing software with representative sports videos and annotations, building visualizations and movement-analysis tools, evaluating tracking/prediction performance, and preparing documentation and example usage guides for collaborators.

Eligibility highlights: bachelor’s degree in computer science, computer engineering, visualization, or a related field (or equivalent experience), plus two years of related research experience. Preferred background includes computer vision, multi-object tracking, human motion analysis, Python and/or C++, video processing, machine learning frameworks, algorithm evaluation, and Git.

Funding note: this is a grant-funded temporary/casual staff role; continuation may depend on future funding. Salary is commensurate with education and experience.

Interested applicants should apply through the Workday posting and upload a cover letter and resume, which are strongly recommended.

Funding details

Temporary/casual staff role that is grant funded; future employment may be contingent upon future funding. Salary is commensurate with education and experience.

What's required

Bachelor’s degree in computer science, computer engineering, visualization, or a related field, or an equivalent combination of education and experience. Two years of related experience in a specialized and relevant field of research. Preferred experience includes computer vision, multi-object tracking, human motion analysis, research software development in Python and/or C++, video processing, machine learning frameworks, tracking algorithm evaluation, and version control systems such as Git.

How to apply

Apply through the Workday job posting for Texas A&M University. A cover letter and resume are strongly recommended and can be uploaded in the CV/Resume section. Submit the application via the listed job link.

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