Assistant Professor (Department of Industrial Systems Engineering & Management)

The Department of Industrial Systems Engineering & Management (ISEM), National University of Singapore invites applications for open rank tenure-track positions in data science, machine learning, operations research, and related disciplines. Our department values pure methodology as well as translational work with significant applications, as evidenced by the faculty’s wide domain expertise. We are looking for candidates with the potential to build a record of excellence in both research and teaching. For more information about our activities and our colleagues, please visit https://cde.nus.edu.sg/isem/ .

Successful candidates can expect excellent conditions for research and teaching, a collegial and supportive environment at a highly ranked international university, and the experience of living in a dynamic and exciting English-speaking city. In addition to competitive salaries, NUS provides an attractive support package including subsidized housing and relocation benefits. The department also provides a generous start-up research grant, 12-month salaries, and ample faculty release time for professional travel. Beyond the department’s resources, the Singaporean government is very supportive of higher education and offers substantial opportunities for large research grants.

Please email your full curriculum vitae and cover page with the subject line: Faculty Job Application (Data Science, Machine Learning and Operations Research) to [email protected]. Due to the volume of applications received, only shortlisted candidates will be invited to submit an application package.

Requisite is exceptional potential for leadership in research and education, an ability and willingness to teach at all levels of the program, and a PhD in operations research, statistics, computer/information science, or a related field by the start of the appointment.

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Industrial Systems Engineering and Management

Employee Referral Eligible: No

Job requisition ID : 18467