Postdoctoral Fellow – Department of Computer Science and Electrical Engineering

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Description

The Lane Department of Computer Science and Electrical Engineering in the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University invites applications for a Postdoctoral Fellow in the general area of algorithmic operations research with an emphasis on computational complexity and game theory. The position is funded by NSF (Algorithmic Foundations) and is concerned with the designing efficient algorithms and establishing the computational complexity of selected quantified polyhedral programs.

Responsibilities will include but are not limited to the following: conducting research on quantified polyhedral programming and quantified circuits; attending research conferences, reading scientific literature to keep abreast of technological advances and current research findings and teaching one course in theoretical computer science.

The position is funded for two years starting January 1, 2026 (although a later start date can be accommodated). A one-year extension is possible based on performance and the availability of funds.

West Virginia University is the comprehensive Land Grant University of the State of West Virginia with a main campus enrollment of over 24,000 students, and a Carnegie Classification of Highest Research Activity (R1 University). The community lies within a high technology corridor that also includes several federal research facilities, such as the U.S. Department of Energy’s National Energy Technology Laboratory, NASA’s Independent Verification and Validation Facility (IV&V), the National Institute of Occupational Safety and Health (NIOSH) and the FBI, as well as private industry. The city is located within reasonable driving distances from Pittsburgh, PA and Washington, DC. Additional details on the area and the university are available at http://www.morgantownwv.gov/ and https://www.wvu.edu.

Qualifications

A PhD in computer science or operations research and expertise in the areas of computational complexity and game theory are required. Support will be provided by a graduate student, but the design work is the responsibility of the Principal Investigator and the postdoc.

To apply for this position, visit https://careers.wvu.edu/career-opportunities. Applicants must submit a cover letter, curriculum vitae, and contact information for two professional references. Only candidates who submit complete documentation will be considered in the review process. For questions or additional information, contact Professor Krishnamurthy Subramani, (phone: 304-293-9137 or email: k.subramani@mail.wvu.edu). You may also visit the LCSEE website at https://lcsee.statler.wvu.edu.

West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.

From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.

At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values – service, curiosity, respect, accountability and appreciation – unite us as Mountaineers.

Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.

West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.

West Virginia University is proud to be an Equal Opportunity employer and is the recipient of an NSF ADVANCE award for gender equity. The University values diversity among its faculty, staff, and students, and invites applications from all qualified applicants regardless of race, ethnicity, color, religion, gender identity, sexual orientation, age, nationality, genetics, disability, or Veteran status.

 

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