Operations Research and Industrial Engineering Assistant Professor

The Operations Research and Industrial Engineering program at The University of Texas at Austin invites applicants for a full-time tenure-track faculty position at the rank of Assistant Professor broadly focused on the integration of data and decision making. Specific methodological areas of interest include: analytics, optimal learning, analysis of large data sets, and simulation. Candidates with demonstrated interest in the application areas of market design, dynamic pricing, or healthcare optimization are especially encouraged to apply.

Candidates must have a PhD in operations research, industrial engineering, or a related area, and a record of high accomplishment with a clearly upward-pointing career trajectory. The successful candidate will be expected to teach undergraduate and graduate courses, develop a strong sponsored research program, supervise graduate students, collaborate with other faculty, and be involved in service to the university and profession.

Interested applicants should submit the following via Interfolio:

(1) a cover letter, (2) curriculum vitae, (3) a statement of research and teaching interests, (4) a list of at least five references, and (5) a copy of your graduate academic transcript.

Candidates should address their submission to the ORIE Faculty Search Committee. Evaluation of applications will begin October 15, 2017, and will continue until an appropriate candidate is identified. Further information on the Graduate Program in Operations Research & Industrial Engineering may be found here.

The successful candidate will be required to complete an Employment Eligibility Verification form and provide documents to verify identity and eligibility to work in the USA. A security sensitive background check will be conducted on the applicant selected.

Please address any questions to This email address is being protected from spambots. You need JavaScript enabled to view it., ORIE Search Committee Chair.