Faculty in Data Science; Tenure Track​/Tenured, Position # F

Posting Details

Job Title:

Faculty in Data Science (Tenure Track/Tenured, Position #F1050A)

Department: AI cluster hire initiative

Position Number: F1050A

Position Type:
Full Time

Recruitment Type:
General Public

Location:

Norfolk, VA

The School of Data Science at Old Dominion University invites applicants for an open rank (Assistant/Associate/Full) as part of a multi-position hiring cluster aiming for the AI-Infused Autonomous Systems for Medicine and Health to begin in Fall 2026. This is a tenured/tenure-track, 10‑month appointment that will begin July 25, 2026. Candidates will be considered for appointment at all ranks contingent upon appropriate qualifications.

The cluster, with faculty hires in the School of Data Science, Batten College of Engineering and Technology, and Hampton Roads Biomedical Research Consortium (HRBRC), integrates interdisciplinary research in secure data infrastructure, real‑time sensing, and trustworthy analytics to support autonomous decision‑making across hospitals, clinics, and remote care settings. We seek faculty to 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 connected and autonomous systems for healthcare.

Potential research topics include:

• Privacy‑Preserving Federated Learning for In‑Hospital Sensor Networks
• Digital‑Twin‑Driven Hospital Flow Optimization
• Trust and Explainability in Autonomous Diagnostics
• Adaptive Multi‑Modal Sensing for Remote Patient Monitoring
• Large‑Scale Health Data Infrastructure for Autonomous Systems
• AI‑Enhanced solutions
• Cyber‑Physical Security for Medical Autonomy
• Streaming Data Fusion and Synchronization for Medical Autonomous Systems
• Connected Autonomous Systems for Emergency Response and Disaster Relief

The focus of this cluster is to leverage cutting‑edge data science and AI to transform healthcare delivery across hospitals, clinics, especially in underserved communities. The research is expected to deliver innovative, data‑driven methods and autonomous technologies that expand high‑quality healthcare into medically underserved areas, enhance hospital efficiency, and ensure secure, reliable care across diverse clinical environments.

The appointee is expected to teach undergraduate and graduate courses and collaborate with other faculty in the School of Data Science, Batten College of Engineering & Technology, and the Hampton Roads Biomedical Research Consortium. The appointee is encouraged to establish collaborations with Macon & Joan Brock Virginia Health Sciences, and scientists at the nearby federal research facilities such as Thomas Jefferson National Accelerator Facility, NASA Langley Research Center, and Navy Surface Warfare Center in the Hampton Roads region.

A Ph.D. or equivalent in Data Science, Computer Science, Machine Learning, Engineering, Mathematics, Nursing Research, or a closely related field is required. Candidates applying for a senior faculty appointment (Associate Professor or Professor) must have an academic record that merits a tenured appointment in the School of Data Science.

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

Interested candidates must complete the online application at (Use the "Apply for this Job" box below). and should include:

Applications should be submitted by November 16, 2025, for full consideration. The position will remain open until it is filled. Questions about this position should be directed to Dr. Michael Nelson (mnelson).

Pay Transparency Nondiscrimination Provision:
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of others to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.