"Full Professor with Tenure Academic Year"

Candidates with a Ph.D. in Industrial and Systems Engineering or a related engineering discipline and a commitment to excellence in research and teaching. Applicants should have a robust background in industrial and systems engineering or a closely related discipline. We particularly welcome candidates whose research enhances and complements our existing strengths, including (but not limited to): artificial intelligence and data science, systems analytics and optimization, stochastic systems, automation science and cybernetics, energy systems, human factors and human-machine systems, manufacturing systems, and/or quality and reliability engineering.