Assistant Professor-Tenure System East Lansing, Michigan, United States Department Of Supply Chain Management 10008570 Area of Interest: Advising/Counseling Area of Interest: Research/Scientific Full Time/Part Time: Full Time (90-100%) Group: Tenure System Faculty Remote Work: Remote-Friendly Union/Non-Union: Non-Union Faculty/Academic Staff Opening on: Oct 2 2026 Closing at: Oct 2 2028 - 23:55 EDT Salary
Commensurate with Experience Eli Broad College Of Business 1171110 Working/Functional Title Assistant Professor Tenure System Position Summary Michigan State University's Eli Broad College of Business, Department of Supply Chain Management, has an opening for a tenure system assistant professor in Operations Management and Supply Chain Management to start in the 2027-2028 academic year. Duties include research,
teaching, and service, and the teaching responsibility would involve Supply Chain or related courses. Please note that this is a union position represented by the Union of Tenure System Faculty (UTSF). The university is working with the union to establish a collective bargaining agreement. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race,
color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Supply Chain Management, Operations Management or related field Minimum Requirements The position requires a Ph.D. or equivalent degree from an accredited university. Candidates must have a conferred Ph.D. in Supply Chain Management or related field as of the
start date of the position, and have a demonstrated record of research excellence, commensurate with their rank. Desired Qualifications Preference for candidates whose research focuses on healthcare operations and/or sustainability. Connections to risk and resilience within these supply chains would also be encouraged. Consistent with the language used in our previous search, we would welcome candidates using a range
of empirical approaches, including data science, machine learning, and empirical analytics. Required Application Materials CV and Cover Letter Special Instructions Review of applications will begin as early as October 2026, and continue until the position is filled. To ensure full consideration, applications should be received by November 10th, 2026. Applications must be submitted online at:
Summary from the source posting. Always confirm details on the institution's official career page.