*NOTE: Please do NOT submit your application via this system; to be considered, you must submit your application via the Interfolio process outlined below.

Interested candidates should submit the following materials electronically through Interfolio at https://apply.interfolio.com/177561. The search committee will begin reviewing applications as they are received. For best consideration, please apply by December 31, 2025. If the application deadline is extended, additional applications may be accepted and reviewed until the position is filled.

The materials below should be consolidated into one (1) PDF document before uploading to Interfolio.

• Letter of interest
• Curriculum vitae
• Research statement (up to 2 pages)
• Teaching statement that addresses, in part, inclusive teaching (1 page)
• Up to three examples of research publications
• At least three references: include full name, position, relationship to applicant, e-mail address, and telephone number

Nominations and expressions of interest will be held in confidence, and references will be contacted only with the candidate's permission. Should you need support related to the Interfolio system, please visit this site or contact Interfolio at help@interfolio.com or (877) 997-8807, 9am-6pm Eastern Time, Monday-Friday. 

For questions about the position, please contact the Search Committee Chair, Dr. David Conroy (deconroy@umich.edu).

The School of Kinesiology at the University of Michigan invites applications for multiple tenure-track faculty positions at the rank of Assistant, Associate, or Full Professor to establish a national center of excellence for data science and artificial intelligence in Kinesiology. The School has established programs in Applied Exercise Science, Athletic Training, Movement Science, and Sport Management that will provide the academic homes for these faculty positions, ideally commencing in August 2026. Candidates will be expected to (a) maintain a productive and nationally-recognized research program, (b) teach undergraduate and/or graduate courses and advise and mentor students across all academic levels, and (c) contribute service to the School, University, and field. Successful candidates will be expected to maintain extramural funding for an active research program at the University of Michigan.

We welcome applicants with a deep commitment to and focus on problems in the field of Kinesiology, whether they are (a) trained in data science or artificial intelligence and apply that expertise to understand and solve problems in Kinesiology or (b) trained in Kinesiology and have developed technical and scientific expertise in data science and artificial intelligence to advance their scholarship. We seek scholars who develop and use advanced technologies that leverage their expertise in data science or artificial intelligence to address problems in sport business, human health, sport science/performance, and physical activity. We are especially interested in applicants who can build on existing strengths and enable new capabilities for collaborations within the School of Kinesiology and across the University.

A doctoral degree in Kinesiology or a related field, including those directly involving data science or artificial intelligence (e.g., Information Science, Computer Science, Electrical Engineering). Candidates should demonstrate their contributions to a positive workplace culture aligned with our school's core values.

Assistant professor candidates should exhibit promise, trajectory, and/or achievements suitable for junior faculty at a major research university.  At the assistant professor rank, candidates should have evidence of: 

• scholarly prominence and academic independence, or high potential, with respect to publishing high-quality, peer-reviewed research 
• experience and/or willingness to mentor undergraduate and graduate students and teach undergraduate and graduate courses in their area of expertise;  
• reasonable engagement in service (to the industry and/or the academy), and 
• the ability to seek and secure external funding

At the associate and full professor ranks, candidates should exceed the expectations outlined at the assistant rank. In addition to those requirements, candidates should have: 

• a consistent and ongoing record of securing research funding, 
• demonstrated an elevated and consistent profile of scholarly and pedagogical excellence, and
• possess the necessary experience and skills to provide leadership that will advance the scholarly excellence in the School of Kinesiology.
   

This position is posted as Assistant Professor/Associate Professor/Professor. The rank of the selected candidate will depend upon candidate's qualifications.

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.  Background checks are performed in compliance with the Fair Credit Reporting Act.

Employment will require both a criminal background check and an institutional reference check regarding any misconduct. Candidates will be required to submit a self-disclosure form as well as an authorization to release information form.

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal employment opportunity employer.

About University of Michigan - Ann Arbor

A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.

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