– Level: Assistant, Associate, and Full Professor Levels

– Area: Applicants from all research areas relevant to Data Science will be considered. Methodological/theoretical areas of interest include but are not limited to statistics, stochastic optimization, machine learning, and data mining. Application domains of interest include but are not limited to healthcare, manufacturing, and logistics.

– Note: UNIST is well-known as the best place for research and academic growth. In particular, the Department of Industrial Engineering at UNIST, where young and enthusiastic faculty members collaborate actively with experienced senior members, prides itself on its culture, capabilities, resources, and high-quality student body. The department searches for researchers who pursue original research for academic excellence and real impact, teachers who care for students, and talented and robust people eager for continuous growth and achievement. Our hiring philosophy is that instead of simply counting the number of publications, we seek applicants with academic intelligence, integrity, grit, and potential for excellent research and educational contributions.