Research Associate
About The Position
The Research Associate will support the development and deployment of a research software system for multi-person motion tracking in sports-event videos captured by uncalibrated cameras. The work focuses on integrating computer vision methods for player tracking, mapping movements to field or court coordinates, and developing workflows that support tactical analysis and prediction. The position is in the College of Performance, Visualization & Fine Arts at Texas A&M University in College Station, Texas. The position is grant funded, and future employment may be contingent upon future funding. Salary will be commensurate with the selected hire’s education and experience.
Requirements
- 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.
- Knowledge of software development and debugging practices.
- Knowledge of computer vision, video analysis, or multi-person tracking.
- Ability to develop and maintain research software.
- Ability to create clear technical documentation and user instructions.
- Ability to work independently and collaboratively with researchers.
- Ability to communicate technical information effectively.
Nice To Haves
- Experience with computer vision, multi-object tracking, human motion analysis, or related computational methods.
- Experience developing research software in Python and/or C++.
- Experience with video processing, machine learning frameworks, and tracking algorithm evaluation.
- Familiarity with version control systems such as Git.
Responsibilities
- Develop and integrate research code for multi-person detection and tracking in sports-event videos.
- Improve tracking robustness under camera motion, occlusions, and changing viewpoints.
- Test and debug software using representative sports videos and annotated data.
- Prepare the codebase for use by research collaborators.
- Develop workflows to map tracked player positions and trajectories to field or court coordinates.
- Develop visualizations and analysis tools for player and team movement patterns.
- Support tactical analysis and prediction of player movements and game situations.
- Evaluate tracking and prediction performance on representative sports videos.
- Prepare documentation for software components, configuration, and workflows.
- Create example data, scripts, and usage guides to help collaborators use the software independently.
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What This Job Offers
Career Level
Mid Level
