Assistant or Associate Professor of Industrial Engineering and Operations Research
Columbia Engineering invites applications for up to two tenure-track faculty positions in the Department of Industrial Engineering and Operations Research. Appointments will be made at the rank of Assistant Professor or Associate Professor (untenured, but on tenure-track), depending on the applicant's qualifications. The positions are open to exceptional applicants in all areas of operations research and management science. We welcome candidates with research interests in the foundations of optimization, probability, machine learning, and data science. Candidates with strong methodological training and research interests in application-driven areas such as healthcare operations, energy, sustainability, network and transportation systems and supply chain management are especially encouraged to apply.
For additional information and to apply, please see:http://engineering.columbia.edu/faculty-job-opportunities. Applications should be submitted electronically to http://apply.interfolio.com/133324 and include the following: a curriculum vitae including a list of publications, a research statement (description of research accomplishments and planned research), a statement of teaching interests and plans, at least three letters of recommendation, and up to three pre/reprints of scholarly work. Applicants are encouraged to submit a statement that discusses their contributions to diversity initiatives. All applications received by November 18, 2023 will receive full consideration, though we encourage early application. Inquiries should be directed to email@example.com.
Applicants can consult ieor.columbia.edu for more information about the department.
Columbia University is an Equal Opportunity Employer/Disability/Veteran.
Candidates must have a Ph.D. (or equivalent degree) in operations research, engineering, management science, applied mathematics, statistics, computer science, or in a closely related area by the start date of the appointment. Successful candidates are expected to build a strong research record and to contribute to the department’s educational programs. Columbia encourages multi-disciplinary research and collaborations across academic units on the campus. The Department is particularly interested in qualified candidates who can contribute to the diversity and excellence of the university community. The candidate will benefit from interactions with various faculty from the School of Engineering and Applied Science, the Data Science Institute, Columbia Business School, Columbia Climate School, Columbia University Irving Medical Center, and the School of Arts and Science. Applicants must have the potential to do pioneering research and to teach effectively.