Assistant Professor - Operations Research

Virginia Tech • Blacksburg, VA

16h • Onsite

About The Position

The Grado Department of Industrial and Systems Engineering (ISE) at Virginia Tech is seeking outstanding candidates in Operations Research for a tenure-track faculty position at the Assistant Professor rank, starting August 2027. The ideal candidate will possess strong methodological and theoretical skills in stochastic operations research, including applied probability, stochastic modeling and optimization, and simulation. Applications are particularly encouraged from those with expertise in areas such as AI-enabled decision-making in supply chains and healthcare, the intersection of simulation and AI, and resilient or data-driven systems. The department values collegiality, interdisciplinary collaboration, and a commitment to both fundamental and applied research, as well as innovative teaching. Virginia Tech, a comprehensive land-grant institution, is dedicated to its motto, Ut Prosim (That I May Serve), and fosters a hands-on, transdisciplinary approach to education and research. The university is an inclusive community committed to knowledge, discovery, and creativity, serving over 36,000 students across more than 280 majors. With a significant research expenditure of over $650 million annually, Virginia Tech is a leading global research institution.

Requirements

• Ph.D. in industrial and systems engineering, operations research, or a closely related field.
• Demonstrated potential to develop a sustainable externally-funded research program.
• Demonstrated potential to publish in leading IE/OR/OM/MS journals.
• Demonstrated potential to produce research of the caliber recognized by major best-paper and publication awards.
• Ability to contribute to the department’s teaching mission at both the graduate and undergraduate levels by teaching courses in probability, probabilistic operations research, with the potential to contribute to teaching needs in simulation.

Nice To Haves

• Demonstrated interest in collaborative research in areas represented by the department’s existing faculty.
• Demonstrated ability and willingness to work collaboratively with faculty from a variety of disciplines to expand disciplinary boundaries to address complex technical and societal challenges.
• Recognition of research excellence as measured by awards.
• Instructional experience in higher education.

Responsibilities

• Initiate and develop externally-funded independent research that is nationally recognized.
• Conscientiously mentor research-oriented graduate students.
• Teach effectively at both the undergraduate and graduate levels.
• Serve the university and their professional communities.

Benefits

• Endorses and encourages participation in professional development opportunities.
• Endorses and encourages participation in university shared governance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree