Invitation for Faculty Position in Sports Analytics — Associate or Full Professor (Fall 2027 Start)

University of Michigan; Ann Arbor (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

The University of Michigan, Ann Arbor, invites applications for a faculty position in Sports Analytics within the College of Engineering, IOE. We seek mid-career or higher rank (associate or full professor) with a strong record in research and graduate/undergraduate education, starting August 2027.

Exceptional candidates at associate or above may be considered for a tenure-track appointment. Applicants from related areas such as OR, statistics, AI are welcome.

Qualifications

• Ph.D. required with evidence of high-quality research and teaching success.
• Experienced in graduate and undergraduate education and mentoring.
• Able to establish funded research programs and collaborate across disciplines.

Skills

Teaching experience

Research excellence

Interdisciplinary collaboration

Grant procurement ability

Education

Ph.D.

Job description

Invitation for Faculty Position in Sports Analytics — Associate or Full Professor (Fall 2027 Start)
University of Michigan-Ann Arbor: College of Engineering: Industrial and Operations Engineering
Location
Ann Arbor, Michigan

Description

The Department of Industrial and Operations Engineering (IOE) at the University of Michigan (U-M) 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.

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/.

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.