Assistant Professor-Stochastic Operations Research
- Virginia Tech
- Blacksburg, Virginia
The Grado Department of Industrial and Systems Engineering (ISE) at Virginia Tech invites applications for a tenure-track faculty position at the rank of Assistant Professor, effective August 2019. We seek outstanding candidates in all areas of Stochastic Operations Research. Candidates will have the opportunity to work with a wide range of research groups and faculty within the Department, College, and University, including those working in the areas of data analytics, simulation methodology, stochastic and/or simulation optimization, stochastic queueing and queueing networks, and decision sciences. Application areas of interest include health systems and technology, medicine, telecommunications, energy, financial engineering, and intelligent infrastructure, among others.
The ISE Department is comprised of 33 faculty with approximately 580 undergraduate students, 120 master’s students, and 90 doctoral students. The undergraduate and graduate ISE programs are currently ranked sixth and seventh, respectively, by U.S. News & World Report. Additional information about the department can be found at www.ise.vt.edu.
Candidates are expected to lead innovative and high-quality research, build a strong sponsored-research program, develop and teach graduate and undergraduate courses in ISE, and advise and mentor graduate and undergraduate students. The position requires a Ph.D. in industrial and systems engineering, operations research, or a closely related field.
In addition to collaborating with faculty in ISE, the successful candidate will have the opportunity to engage in transdisciplinary research, curriculum, and outreach initiatives with other university faculty members working in the university’s Data and Decisions Destination Area (https://provost.vt.edu/destination-areas.html). The Data and Decisions Destination Area is focused on advancing the human condition and society with better decisions through data. Faculty working together in this area are integrating data analytics and decision sciences across the transdisciplinary research and curriculum efforts at Virginia Tech and beyond.
Interested individuals should apply online at jobs.vt.edu (posting number TR0180114). Candidates should submit a cover letter, current CV, research statement, teaching statement, diversity statement, three relevant research publications, and the names of at least three references. Review of applications will begin immediately, and the deadline for ensuring full consideration is November 30, 2018. The position will remain open, and applications may be considered until the position is filled. For more information or for any questions about the search, please contact the Search Committee at email@example.com. Applicants are also encouraged to include in their cover letter a list of presentations being given at the INFORMSconference.
Virginia Tech is committed to a culturally and ethnically diverse campus environment and to principles that promote inclusive practices.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or veteran status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
Virginia Tech is the recipient of a National Science Foundation ADVANCEInstitutional Transformation Award to increase the participation of women in academic science and engineering careers. The ISE Department strongly supports the Virginia Tech Principles of Community.