Assistant Professor, Industrial Engineering (Operations Research)

Nevada System of Higher Education • Reno, NV

13d • Onsite

About The Position

The School of Mechanical, Industrial, and Materials Engineering at the University of Nevada, Reno invites applications for a full-time, nine-month, tenure-track Assistant Professor position in Industrial Engineering, with a primary focus on Operations Research and Optimization. The anticipated start date is July 1, 2027. The successful candidate will help shape the research direction, curriculum, laboratories, and industry partnerships of a growing Industrial Engineering program.

The candidate is expected to establish an externally funded, nationally recognized research program and publish in high-impact venues; teach and develop undergraduate and graduate courses; advise and mentor students; collaborate within the School and College and with industry and national laboratory partners; and contribute service at the School, College, University, and professional levels. Teaching may include Operations Research, Optimization, Stochastic Processes, Simulation, Supply Chain and Logistics, Decision and Data Analytics, Engineering Economics, and Manufacturing Systems.

The program is developing a Smart Factory/Flexible Manufacturing Systems learning and research environment with industrial automation, machine vision, and manufacturing and logistics equipment. The School also offers access to the University’s High Performance Computing facility and other specialized facilities. Salary is competitive and commensurate with related education and experience.

Requirements

• Ph.D. in Industrial Engineering, Operations Research, Systems Engineering, or a closely related field.
• Demonstrated potential to establish an externally funded research program.
• Demonstrated potential for excellence in teaching and mentoring at the undergraduate and graduate levels.
• Effective written and oral communication skills.

Nice To Haves

• Expertise in mathematical optimization; stochastic modeling and optimization under uncertainty; simulation and digital twins; integration of machine learning and AI with optimization, including prescriptive analytics; supply chain, logistics, and transportation systems; or scheduling, resource allocation, risk analysis, and system resilience.
• Research applying these methods to manufacturing, energy, critical materials, or aerospace.
• A record of scholarly publication appropriate to career stage.
• Experience preparing research proposals to federal agencies, industry, or other sponsors.
• Postdoctoral, industrial, or national laboratory experience.
• Interest in interdisciplinary collaboration across engineering and related fields.
• Exceptional candidates in other areas of operations research are encouraged to apply.

Responsibilities

• Establish an externally funded, nationally recognized research program in operations research and publish in high-impact venues.
• Teach undergraduate and graduate courses and develop new courses that strengthen the curriculum.
• Advise and mentor undergraduate and graduate students.
• Collaborate across the School and College and with industry and national laboratory partners.
• Contribute service at the School, College, University, and professional levels.
• Teach in one or more of the areas of Operations Research, Optimization, Stochastic Processes, Simulation, Supply Chain and Logistics, Decision and Data Analytics, Engineering Economics, and Manufacturing Systems.

Benefits

• University retirement plan with a 19.25% University match; participants are 100% vested on their first day.
• Health insurance options, including dental and vision.
• Generous sick leave, long-term disability, and life insurance.
• Fitness Center memberships, including spouse/domestic partner options.
• Local business discounts for WolfCard holders.
• Employee assistance program providing counseling and advising services to employees and eligible dependents.
• Reduced-rate tuition for faculty and qualified dependents through Grants-in-Aid.
• Dual-career assistance program for newly hired faculty spouses or partners.
• No state income tax.

What This Job Offers

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