– Major: Industrial Engineering, Statistics, Data Science, or

closely related disciplines

– Level: Full, Associate, and Assistant Professor Levels

– Note: Methodological/theoretical areas of interest include but

are not limited to artificial intelligence, machine

learning, optimization, data science, and blockchain.

Application domains of interest include but are not

limited to production/manufacturing, logistics, healthcare

and financial engineering.

Academic or industrial experience of R&D projects will

be considered preferably, as the department provides

numerous opportunities for R&D work with industry and

government.

Candidates should have a Ph. D degree (or near completion of the degree for assistant professor-level applicants).