The Department of Operations Research and Financial Engineering (ORFE) at Princeton University invites applications for three tenure-track faculty appointments at the Assistant Professor level starting September 1, 2020. The search is open to all general areas of interest of the department, including Optimization, Statistics & Machine Learning, and Probability, and their applications to, among others, operations research, data science, economics and finance, energy and the environment, control and robotics, healthcare management, physical and biological sciences, networks, and transportation. A PhD in a related field is required.
To be successful, the candidate must have a strong commitment to excellence in research and in teaching at both the undergraduate and graduate levels. The ORFE department believes that the diversity of our faculty, staff, and students is essential to the distinction and excellence of our research and academic programs. To that end, we are eager to have a colleague who supports our institutional commitment to ensuring Princeton is inclusive, equitable, and diverse.
The ORFE department is part of the School of Engineering and Applied Science and involved in activities with the Center for Statistics and Machine Learning, the Bendheim Center for Finance, the Program in Applied and Computational Mathematics, and the Andlinger Center for Energy and the Environment.
Applications will be considered on a continuing basis but candidates are encouraged to apply by December 1, 2019. To apply, please submit an online application at https://www.princeton.edu/acad-positions/position/13621. Applicants should upload a CV, research statement, teaching statement, and contact information for at least three references, one of whom should be able to address the candidate’s teaching abilities.
Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University’s background check policy.
3 openings. Employer will assist with relocation costs.