Associate Professor/Professor of Technology & Operations

IMDiversity; Ann Arbor (MI); On-site; USD 140,000 - 210,000; Full time

Job summary

University of Michigan Ross School of Business invites applications for a tenured Associate or Full Professor in Technology & Operations (Cognitive Manufacturing). The role spans collaboration with Engineering and the College of Engineering, focusing on AI in manufacturing, supply chain resilience, and cognitive AI-human decision making.

Candidates should have a PhD and a proven research and leadership record.

Qualifications

• PhD in Business Administration, Industrial Engineering or related field such as Economics, Statistics, or Computer Science is required.
• Record of excellence in business research, teaching, and leadership.
• Experience collaborating across engineering, CS, and behavioral sciences; industry partnerships or policy engagement is a plus.

Skills

AI in operations

Cognitive manufacturing

Interdisciplinary collaboration

Industry partnerships

Research funding

Mentoring

Education

PhD in Business Administration

PhD in Industrial Engineering

PhD in Economics/Statistics/CS

Job description

Associate or Full Professor of Technology & Operations (Cognitive Manufacturing)
University of Michigan-Ann Arbor: Ross School of Business
Location
Ann Arbor, MI

Description
The Stephen M. Ross School of Business at the University of Michigan invites applications for a tenured faculty position (Associate or Full Professor) in the Technology and Operations area, with a research focus at the intersection of AI, advanced manufacturing, and supply chain resilience. This appointment is part of a major interdisciplinary faculty cluster — Cognitive Manufacturing — that spans the Ross School of Business and the College of Engineering (Mechanical Engineering and Computer Science and Engineering).

Qualifications
The ideal candidate would have research expertise at the intersection of AI and operations, including cognitive AI for manufacturing/supply chain management, resiliency, and integrated AI-human decision making in operations settings. We are especially interested in individuals with a track record of interdisciplinary collaboration with mechanical engineering, computer science, and/or behavioral science colleagues; experience translating research through industry partnerships, pilot deployments, or policy engagement; a history of external research funding from federal agencies and/or industry; and experience mentoring a diverse community of students and junior researchers. Minimum requirements include a doctorate in Business Administration, Industrial Engineering or related field such as Economics, Statistics, or Computer Science, and a record of excellence in business research, teaching, and leadership commensurate with appointment rank.