"LEO Lecturer III-Decision Sciences"

The College of Business at the University of Michigan-Dearborn is seeking applications for a part-time lecturer in Decision Sciences, starting January 2026. The position will be responsible for teaching students enrolled in both introductory and upper-level decision sciences courses. Experience in some combination of the following areas is desired: industry specific analytics, data-driven decision-making, statistics, AI and machine learning, optimization, and behavioral decision theory. The ability to teach at the graduate level is preferred but not required.

Successful candidates must have a graduate degree in Decision Sciences, Analytics, or related disciplines (Master's or Ph.D.) and significant professional experience. Other professional qualifications, previous experience teaching decision sciences at the university level, recent relevant work experience, and/or a history of scholarly research and publications, are highly preferred. Support for professional development is available.

This position is covered under the collective bargaining agreement between the U-M and the Lecturers Employee Organization, AFL-CIO, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.

Interested candidates should send a letter of application, current vita, and evidence of teaching effectiveness to: Jaclyn Daniels, Information & Operations Management Department, College of Business, University of Michigan-Dearborn, 114-A Fairlane Center South, 19000 Hubbard Drive, Dearborn, MI 48126-2638. Prior to being considered for an interview, three letters of recommendation will be required. Electronic applications are strongly encouraged and may be sent as a single PDF file to Jaclyn Daniels at jaclynan@umich.edu. Applications will be reviewed commencing immediately and will be accepted until the position is filled.