Description
The McCombs School of Business at the University of Texas at Austin invites applications for a tenure track faculty position in the decision sciences area in the Department of Information, Risk, and Operations Management starting in Fall 2020. We seek candidates with a rigorous research program that focuses on the development or the innovative use of methodologies that are driven by data and motivated by challenges in business. These research areas could include optimization and decision making under risk and uncertainty. A candidate's research may draw from one of a variety of research disciplines, including operations research, operations management, computer science, machine learning or other related fields.
Qualifications
We seek candidates in decision sciences with a strong commitment to high quality research and teaching, and who can contribute to our program in Business Analytics. Applicants should have a Ph.D. or expect to complete their degree before Fall 2020.
The McCombs School, with its top-ranked faculty and educational programs, offers a stimulating and collegial environment for research and teaching. The Information, Risk, and Operations Management (IROM) Department offers courses and concentrations in the undergraduate, MBA, MS and PhD programs. The School's Center for Analytics and Transformative Technologies, Supply Chain Management Center of Excellence, Center for Research in Electronic Commerce, The Kay Bailey Hutchison Center for Energy, Law and Business, Healthcare initiative and other research centers and initiatives provide opportunities for IROM faculty to collaborate with colleagues in other disciplines and to interact with industry.
As an Equal Opportunity Employer with a commitment to diversity, we want our applicant pool to be as diverse as possible. We welcome applicants from under-represented groups as well as applicants who have demonstrated, and will continue to demonstrate, a commitment to diversity in the academic environment.
Application Instructions
Interested applicants should upload a curriculum vita, copies of up to three research papers, and a statement of research objectives and accomplishments to Interfolio (https://apply.interfolio.com/68643). Applicants with teaching experience should also upload teaching evaluations. All applicants are required to use the Interfolio Recommendation Letter request system to request at least three confidential letters of recommendation. Applications and recommendation letters must be received by November 1, 2019. In order to be considered for an interview at the INFORMS Meeting in Seattle on October 20-23, these materials must be received by October 11, 2019.
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Rui Gao
Assistant Professor
University of Texas at Austin
Austin TX
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