The university is seeking to explore the uses of Artificial Intelligence (AI) in non-traditional spaces and optimize competition through AI.
Requirements
- Experience with Artificial Intelligence (AI)
- Knowledge of data aggregation and analysis
- Familiarity with sports-related data, including fitness, nutrition, mental health, team cohesion and game-week loading
- Ability to work with large datasets
- Experience with data visualization tools
- Knowledge of machine learning algorithms and techniques
Responsibilities
- Assist with Artificial Intelligence (AI) projects
- Work on project “Optimizing Competition Through AI”
- Explore a vast array of data that is currently collected but not aggregated, including: fitness, nutrition, mental health, team cohesion and game-week loading
- Explore in-game strategies based on game-day performance by competing teams
Other
- 20 hours a week working with Dr. Graham
- Background check(s) in accordance with University policies
- Equal opportunity, affirmative action employer
- Must be able to work in a team environment
