Indiana University Indianapolis invites applications for a 10-month tenure-track Assistant Professor in Sport Analytics to support its expanding Sport Analytics and Sport Management programs, as well as campus-wide sport performance initiatives. Located in the heart of Indianapolis—internationally recognized as the “Sports Capital of the World” and home to the NCAA , major professional franchises, and leading sports-technology organizations—IU Indianapolis offers unparalleled opportunities for industry collaboration, applied analytics research, and experiential learning. The successful candidate will contribute to undergraduate and graduate instruction in areas such as sport analytics, sport performance, tourism/events/hospitality analytics, predictive modeling, and related fields. We welcome applicants committed to addressing complex challenges in sport analytics, tourism analytics, human performance, and related fields. Candidates may come from: (a) data science, artificial intelligence, or computational fields with an applied focus on sport, tourism, human performance, or health, or (b) sport-, tourism-, or health-related disciplines who have developed significant technical expertise in data science and artificial intelligence. We seek scholars who create or employ advanced analytical methods and emerging technologies to examine issues in sport business, tourism, human health, sport science/performance, and physical activity. Applicants who can complement existing program strengths while enabling new areas of innovation are especially encouraged to apply. This position will collaborate closely with key campus partners, including: the Convergent Bioscience and Technology Institute the Institute of Human Health and Wellbeing the IUI Women’s Sports Initiative, which promotes research, innovation, equity, and community engagement in women’s sports the IU Indianapolis Sports Innovation Institute ( SII ) , which integrates academic expertise with entrepreneurial approaches to advance sports technology and innovation Luddy School of Informatics, Computing and Engineering Candidates are expected to establish and sustain a productive research agenda using advanced quantitative methods—such as machine learning, computational modeling, big-data analytics, and wearable technologies—to study tourism, hospitality, and/or human performance, injury prevention, or rehabilitation.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees