Postdoc: AI-Driven Athlete Performance

Top 2 Percent Scientists

Gainesville (FL)

On-site

USD 65,000 - 80,000

Full time

2 days ago
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Job summary

University of Florida invites applications for a Postdoctoral Associate in AI-Powered Athletics. This interdisciplinary role focuses on leveraging artificial intelligence and data-driven methods to enhance athlete performance, health, and research outcomes.

The successful candidate will work on projects utilizing UF’s comprehensive research databank on student-athletes — supporting scientific discovery and athletic excellence through data analysis, visualization, and collaboration with

Qualifications

  • Ph.D. in Biomedical Engineering, Biomechanics, Exercise Physiology, Sports Science, Data Science, Computer Science, or related field.
  • Strong communication and ability to work in interdisciplinary environments.
  • Experience with human subject research and related ethics/regulatory approvals (preferred).

Responsibilities

  • Manage, analyze, and utilize athletic data to improve team performance and athlete well-being.
  • Develop and maintain tools for data curation, visualization, and AI-driven analysis.
  • Collaborate with UF researchers and University Athletic Association (UAA) staff.
  • Ensure compliance with HIPAA, FERPA, NCAA, and UAA privacy and reporting regulations.
  • Contribute to scientific publications, reports, and educational initiatives.

Skills

Python
Git/GitHub
AI/ML concepts
Data analysis

Education

Ph.D. in Biomedical Engineering, Biomechanics, Exercise Physiology, Sports Science, Data Science, Computer Science, or related field

Tools

Streamlit

Job description

University of Florida invites applications for a Postdoctoral Associate in AI-Powered Athletics. This interdisciplinary role focuses on leveraging artificial intelligence and data-driven methods to enhance athlete performance, health, and research outcomes.

The successful candidate will work on projects utilizing UF’s comprehensive research databank on student-athletes — supporting scientific discovery and athletic excellence through data analysis, visualization, and collaboration with

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