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Associate or Full Professor of Trustworthy AI in Cybersecurity

United States, Norfolk · Job Posted January 22, 2026
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Job Description

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.

Job Responsibility

  • Establishing and leading interdisciplinary research in collaboration with existing ODU faculty and other members of the cluster
  • Teach at the undergraduate and graduate levels

Requirements

  • Ph.D. in Computer Science, Computer Engineering, or any field closely related to Cybersecurity
  • Ability to teach at the undergraduate and graduate levels
  • Ability to work in multidisciplinary settings
  • A strong research record in Trustworthy AI demonstrated by peer-reviewed publications, a sustained stream of externally funded multidisciplinary research projects

Nice to have

  • Substantial expertise, experience with recognized scholarship and research in Trustworthy AI
  • Ability to provide a clear vision and plan for establishing and sustaining a successful externally funded research program through interdisciplinary collaboration

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