University of Michigan logo

ASSOC PROFESSOR, OR PROFESSOR in Sports Analytics

University of Michigan

Ann Arbor, MIFull-timeSeen 1w agoSeen in employer's feed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
No compensation found
Location
Ann Arbor, MI
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Doctorate

Job overview

The University of Michigan’s Department of Industrial and Operations Engineering seeks a mid-career or higher faculty member in Sports Analytics, with an appointment beginning in August 2027. The role focuses on research and graduate and undergraduate education, and calls for an independent, externally funded research program. Assistant professors with an exceptional track record may be considered. Candidates should have a Ph.D. and evidence of research commitment and teaching success or potential.

Skills & qualifications

RequiredNice to have

Skills

Sports AnalyticsResearchTeachingResearch Program Development

Qualifications

Ph.D.Research CommitmentTeaching Success or PotentialMid-Career or Higher RankExceptional Track Record

Full job description

ASSOC PROFESSOR, OR PROFESSOR in Sports Analytics

Apply Now

How to Apply

Submit your application to Interfolio here: https://apply.interfolio.com/194464 . A complete application packet includes at least the following six items: (1) a cover letter (up to two pages); (2) a current C.V., two summary statements of up to two pages each describing, respectively: (3) career teaching plans; (4) research plans; and (5) three names of references. For candidates with prior teaching experience, please provide (6) a summary of course (teaching) evaluations. Applications will be reviewed on a rolling basis until the position is filled. Applications received by November 30th, 2026 will receive full consideration.

Please contact the IOE Faculty Search Committee at [email protected] if you have any questions.

Who We Are

Michigan Engineering provides scientific and technological leadership to the people of the world. We seek to improve the quality of life by developing intellectually curious and socially conscious minds, creating collaborative solutions to societal problems, and promoting an inclusive and innovative community of service for the common good. The College of Engineering is especially interested in candidates who can contribute, through their research, teaching and/or service, to the diversity and excellence of the academic community.

Michigan Engineering's vision is to be the world's preeminent college of engineering serving the common good. This global outlook, leadership focus, and service commitment permeate our culture. Our vision is supported by a mission and values that, together, provide the framework for all that we do. Information about our vision, mission and values can be found at:

http://strategicvision.engin.umich.edu/ .

The University of Michigan is an equal opportunity/affirmative action employer and is responsive to the needs of dual career families. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.

Job Summary

The Department of Industrial and Operations Engineering (IOE) at the University of Michigan (UM) welcomes applications for a faculty position at mid-career or higher rank (associate, and full professor) in the area of Sports Analytics (SA) for an appointment beginning in August 2027. Note that an assistant professor with an exceptional track record may be considered. SA represents an expansive field that connects disciplines within and beyond the College of Engineering in the shared pursuit of understanding performance, decision-making, and human movement. This is part of a campus-wide faculty expansion program directed towards building a campus-wide cluster focused on SA. The new cluster is expected to leverage and augment IOE?s enduring strengths in optimization, stochastics, data analytics, statistics, machine learning, and human factors. Our multidisciplinary department integrates theoretical, methodological, and applied research interests.

We are seeking individuals with an enduring commitment in sports analytics from fields that include but are not restricted to operations research, human factors, statistics, applied mathematics, and computer science. The ideal candidate will have a track record of excellence in both research as well as graduate and undergraduate education and a demonstrated ability to establish independent and externally-funded research programs in their fields of expertise. Particular attention will be placed on candidates who embrace the global outlook, leadership focus, and service commitment that are fundamental to the culture of Michigan Engineering. Naturally, the search will place a greater emphasis on senior candidates who have an established record of scholarship and innovation in the field and have the potential to build an impactful and expansive research program in SA.

Required Qualifications*

You have a Ph.D. and show a commitment to high-quality research and evidence of teaching success and/or potential, as appropriate. You are dedicated to excellence in graduate and undergraduate education, and will develop impactful, productive, and innovative research programs.

We welcome candidates at a mid-career or higher level (tenure-track Associate Professor, and Full Professor) from all areas related to Industrial and Operations Engineering, including Operations Research, Data and Decision Analytics, Artificial Intelligence, Human Factors, and related disciplines. Assistant professors with an established stellar track record may be considered. Our department's application areas include energy & sustainability, health & human safety, manufacturing, mobility & transportation, operations management, public policy, and robotics.

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 thework modes (https://hr.umich.edu/working-u-m/my-employment/ways-we-work-resource-center/ways-we-work-implementation-group/modes-work) .

Underfill Statement

This position is posted as Associate Professor or Professor. The rank of the selected candidate will depend upon candidate's qualifications. Note that an Assistant Professor with an exceptional track record may be considered.

Background Screening

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 any time after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.

Job Detail

Job Opening ID

283807

Working Title

ASSOC PROFESSOR, OR PROFESSOR in Sports Analytics

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

College Engineering

Department

CoE Industrial & Oper Engin

Posting Begin/End Date

10/09/2026 - 12/08/2026

Career Interest

Instructional - Regular

Apply Now

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.