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Search for University Jobs in Engineering

Job ID: 263160

Associate or Full Professor of Trustworthy AI in Cybersecurity (Tenure Track/Tenured, F0853A)
Old Dominion University


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Date Posted Sep. 30, 2025
Title Associate or Full Professor of Trustworthy AI in Cybersecurity (Tenure Track/Tenured, F0853A)
University Old Dominion University
Norfolk, VA, United States
Department AI CLUSTER HIRE INITIATIVE
Application Deadline Open until filled
Position Start Date Available immediately
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  • https://jobs.odu.edu/postings/24294
  • Associate Professor
    Professor
  • Computer Engineering
    Computer Science
 
 
The School of Cybersecurity at Old Dominion University (ODU) invites applicants for a 10-month tenure track/tenured Associate or Full Professor position to begin July 25, 2026 as part of a multi-position hiring initiative for Trustworthy AI. This multi-position cluster hire is part of ODU’s Centennial Cluster Initiative, which supports the expansion of transdisciplinary research efforts by prioritizing the hiring of multiple faculty positions targeting specific research areas. The Trustworthy AI cluster hire involves interdisciplinary collaboration among School of Cybersecurity, Department of Computer Science, and Department of Sociology & Criminal Justice, and builds on existing interdisciplinary strengths at ODU.

We seek exceptional candidates with strong research track in Trustworthy AI (broadly defined) to serve as the lead of this multi-position cluster, establishing and leading interdisciplinary research in collaboration with existing ODU faculty and other members of the cluster. We are specifically interested in those who work on fundamental issues related to security, safety, and privacy of AI systems.

Old Dominion University was founded in 1930. In preparation for our centennial anniversary, the institution initiated the Centennial Cluster Initiative, a hiring program designed to hire interdisciplinary clusters of faculty around emerging themes. As the first step of that initiative, we seek to hire 25 scholars who can contribute to the university’s growing research and teaching portfolio in the area of artificial intelligence. Those scholars will be housed in departments across campus and work together on scholarly activities related to artificial intelligence.

 
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