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Faculty in Data Sciences - Critical Infrastructure and Data Transformation; CID to Advance Nat

Job in Norfolk, Virginia, 23500, USA
Listing for: Commonwealth of VA Careers
Full Time, Part Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Faculty in Data Sciences - Critical Infrastructure and Data Transformation (CID) to Advance Nat[...]

Title: Faculty in Data Sciences - Critical Infrastructure and Data Transformation (CID) to Advance National Security

Agency: ACADEMIC AFFAIRS

Location: Norfolk, VA

FLSA:

Hiring Range:

Full Time or Part Time:

Additional Detail

Job Description

The School of Data Science at Old Dominion University invites applicants for an annual 10-month position at Assistant/Associate/Full Professor rank as part of a multi-position hiring cluster aiming for the Critical Infrastructure and Data Transformation to Advance National Security to begin in Fall 2026. The appointment is 10 months and will begin July 25, 2026. The cluster, with faculty hires in School of Data Science, Batten College of Engineering and Technology and Office of Enterprise Research and Innovation, integrates interdisciplinary research in resilient infrastructure, infrastructure data transformation, and secure smart systems to address national security challenges in coastal regions.

It explicitly addresses Old Dominion University’s Strategic Plan in research areas including Coastal Resilience and National Security. The research in this cluster is supported by five interrelated, cross-cutting research domains, including Artificial Intelligence & Machine Learning, Computational & Data Science, Cybersecurity & Network Security, and Modeling & Simulation.

Candidates will be considered for appointment at all ranks contingent upon appropriate qualifications. We seek faculty that can develop and maintain a vibrant, externally funded interdisciplinary research program in artificial intelligence (AI)/machine learning (ML) and data science with a primary focus on applications to critical infrastructure and national security, including but not limited to:

  • AI-Enabled Digital Twins for Critical Infrastructure or Coastal Resilience
  • Edge Intelligence for autonomous sensing and decision making
  • Secure & Trustworthy AI
  • AI-Driven Resilience Forecasting for Critical Assets
  • Human - AI Decision Support
  • AI for cyber-physical threat detection and response
  • Foundation Models for Integrated National-Security Intelligence and coastal resilience

The focus of this cluster is to leverage cutting-edge data science and artificial intelligence to protect critical assets and strengthen national security, particularly in coastal regions. The research of this cluster is expected to advance research that enables earlier warnings, faster responses, and greater resilience to both natural hazards and national security threats.

Responsibilities
  • Develop and maintain a vibrant, externally funded interdisciplinary research program focused on AI/ML and data science for critical infrastructure and national security.
  • Teach undergraduate and graduate courses in data science and artificial intelligence.
  • Collaborate with faculty across the School of Data Science, Batten College of Engineering & Technology, and Office of Enterprise Research and Innovation.
  • Establish collaborations with the newly formed Brock Virginia Health Sciences and external federal research facilities such as Thomas Jefferson National Accelerator Facility (Jefferson Lab), NASA Langley Research Center (LaRC), and Navy Surface Warfare Center in the Hampton Road Region.
Qualifications

Minimum qualifications are not specified in the posting. Desired qualifications are summarized in the additional considerations below.

Additional Considerations
  • A strong publication record in data sciences/AI/ML.
  • Strong record of externally funded grants.
  • Excellent skills to interact and communicate clearly with internal and external constituencies.
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