Postdoctoral Associate; UF Sports Analytics Lab

Classification

Title:

Postdoctoral Associate

Classification

Minimum Requirements:

PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a closely related quantitative field, earned by July 1, 2026.

The UF Sports Analytics Lab in the Department of Sport Management, College of Health & Human Performance, invites applications for a full‑time Postdoctoral Associate in Sports Analytics. This 12‑month position focuses primarily on applied on‑field performance analytics in collaboration with Florida Gators Athletics, with additional projects in business and operations analytics as needs arise.

The appointment is renewable annually for up to a total of three years, contingent upon satisfactory performance, continued need, and availability of funding.

• Design and implement applied sports analytics projects for UF varsity teams and the Athletic Director’s office, focusing on on‑field performance such as player and team evaluation, game strategy, scouting, workload and injury risk, and practice planning.
• Contribute to sport business and operations analytics projects as needed (e.g., ticketing, fan engagement, scheduling).
• Build and maintain data pipelines and models using R, Python, SQL, and cloud computing resources, following best practices for reproducible research and version control (Git Hub).
• Supervise and mentor undergraduate and master’s student analysts working on projects across multiple teams and units.
• Communicate findings clearly to coaches, staff, and other stakeholders, and contribute to publications, presentations, and grant proposals emerging from lab projects.
• Lead and co‑author scholarly publications and conference presentations arising from lab projects, in collaboration with the Lab Director and student analysts.
• Support the educational mission of the lab through mentoring and occasional guest lectures or workshops in sports analytics, or in related courses as needed.

• PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a closely related quantitative field, earned by July 1, 2026.
• Proficiency in R and Python for data analysis and modeling.
• Working knowledge of SQL and relational databases.
• Experience with cloud computing environments (e.g., AWS, GCP, or Azure).
• Demonstrated use of Git Hub or similar tools for version control and collaborative code development.
• Evidence of high‑quality research (e.g., publications, preprints, reports).
• Strong written and oral communication skills.

• Experience providing analytics or performance analysis support to college or professional teams, sport organizations, or athletic departments.
• Experience supervising or mentoring student analysts or research assistants.
• Familiarity with sport‑relevant methods such as tracking data analysis, player and team evaluation metrics, win probability and decision models, scheduling/optimization, or injury and workload models.
• Experience with modern data engineering and analytics tools (e.g., APIs and ETL/ELT workflows, dashboarding tools such as Shiny, Dash, or Power BI, CI/CD or automated pipelines).
• Experience working with sensitive or restricted data and knowledge of data governance and ethics in sport.

Appointment Terms and Salary:
This is a full‑time, 12‑month, non‑tenure‑track faculty appointment based on the University of Florida’s main campus in Gainesville. The anticipated salary range is $60,000 to $70,000 per year, commensurate with qualifications and experience, and meeting or exceeding UF’s minimum for postdoctoral associates. Postdoctoral Associates are eligible for a comprehensive benefits package, including health, dental, and vision insurance options; retirement programs;

and paid leave, subject to FTE and program rules. For more information see (Use the "Apply for this Job" box below)..

University of Florida is an Equal Opportunity Employer.

Final date to receive applications:
July 31, 2026. Submit an online application through the University of Florida careers website at .