Assistant/Associate/Full Professor in Data Science

How to Apply

• 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 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 [email protected] or , 9am-6pm Eastern Time, Monday-Friday.

For questions about the position, please contact the Search Committee Chair, Dr. David Conroy ([email protected]).

Job Summary

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.

Who We Are

The University of Michigan is one of the highest-ranked public universities in the nation and one of the world's preeminent research institutions. The School of Kinesiology is one of 19 independent academic units and one of seven health science schools and colleges within the university. In fall 2020 and again in fall 2023, the National Academy of Kinesiology ranked the University of Michigan School of Kinesiology doctoral program as the #1 program in the U.S. The school is led by Dean Lori Ploutz-Snyder and has over 40 tenure-line faculty, 16 clinical faculty, 33 lecturers, and over 1,250 undergraduate and 152 graduate students.

In 2021, the school moved into a newly renovated, state-of-the-art academic and research building (School of Kinesiology Building) that is located in the heart of the University of Michigan's main campus. The $120M renovation project expands the School of Kinesiology's research, classroom, and office space to approximately 189,000 gross sq. ft. The new building also includes state-of-the-art facilities to support teaching and research, including dedicated lecture and laboratory classrooms, along with many other research laboratories and centers. The shared exercise and clinical research space includes examination and procedure rooms as well as a full exercise center. New faculty will have access to all spaces and shared equipment, such as DXA, research-grade indirect calorimetry/VO2 assessment systems, wearable accelerometers, and inclinometers. Faculty will have access to the state-of-the-art core computing resources at the University of Michigan.

The University of Michigan is home to approximately 275 degree programs, with Kinesiology housing four of 102 graduate programs rated in the top 10 nationally, providing unparalleled opportunity for collaboration. Collaborative opportunities exist both within the School of Kinesiology and with other units across campus. In addition to the many exciting achievements within the School of Kinesiology, the school has a strong record of partnering with other academic units in the university, consistent with the culture of the University of Michigan that places significant value on innovation across disciplines.

The University of Michigan has made and will continue to make substantial investments in advanced technology, such as artificial intelligence, as a part of its Look to Michigan vision. For example, the AI Institutes at Michigan launched in 2025 to integrate and coordinate the strengths of AI-focused centers and institutes across campus and foster collaboration in this space. The University has also been a leader in promoting equitable access and support for faculty, staff, and students to engage with a custom suite of generative AI platforms (with appropriate privacy safeguards) in their work.

Required Qualifications*

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.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Underfill Statement

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

Background Screening

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.

Application Deadline

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.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.

Job Opening ID

270916

Working Title

Assistant/Associate/Full Professor in Data Science & Artificial Intelligence

Job Title

PROFESSOR

Work Location

Ann Arbor Campus

Ann Arbor, MI

Modes of Work

Onsite

Full/Part Time

Full-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

School Kinesiology

Department

School of Kinesiology

Posting Begin/End Date

11/17/ /01/2026

Career Interest

Instructional - Regular

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