- Career Center Home
- Search Jobs
- Faculty in Data Science - AI-Infused Autonomous Systems for Medicine and Health
Description
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 that to develop/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, including but not limited to:
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 for better patient outcomes, such as Decision Support Systems
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 artificial intelligence to transform
healthcare delivery across hospitals, clinics, especially in underserve communities. The research of this
cluster 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 Hampton Roads Biomedical
Research Consortium. The appointee is encouraged to establish collaborations with the newly formed Macon
& Joan Brock Virginia Health Sciences, as well as scientists at the nearby 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 Roads Regione.
About the School of Data Science: As one of the three academic units in the Interdisciplinary Schools at Old
Dominion University, the School of Data Science is a new initiative that focuses on educating students in the
rapidly growing field of data science, conducting cutting-edge research and serving as a center of AI
education and research in the University community. Since its establishment in spring 2023, the school has
grown to include ten core faculty members and over 80 affiliated faculty members across the campus, with
wide range of active research projects from bioinformatics, web science, survey data science to scientific
machine learning, explainable AI and generative AI. Faculty of the School of Data Science actively collaborate
with researchers from renowned facilities such as Jefferson Lab (sponsored by Department of Energy),
NASA’s Langley Research Center, Hampton Roads Biomedical Research Consortium (HRBRC), Macon and Joan
Brock Virginia Health Sciences (VHS, formerly EVMS), and ODU’s Office of Enterprise Research and Innovation
(OERI).
Requirements
Minimum Qualifications:
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 academic
record that merit a tenured appointment in the School of Data Science.
Preferred Qualifications:
A strong publication record in data science/AI/ML.
Strong record of externally funded grants
Excellent skills to interact and communicate clearly with internal and external constituencies.
How to Apply:
Interested candidates must complete the online application at https://jobs.odu.edu/postings/24325 and
should include:
1. A cover letter of application describing your relevant qualifications and indicating the rank you would
like to be considered for.
2. A curriculum vitae
3. A statement of teaching
4. A state of research interests
5. Unofficial graduate transcripts
6. Maximum of three samples of scholarly work
7. Contact information of 3 professional references.
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@odu.edu)
About ODU: Old Dominion University, located in Norfolk, is Virginia’s forward-focused public doctoral
research university with more than 23,000 students, a top R1 research ranking, rigorous academics, an
energetic residential community and initiatives that contribute $2.6 billion annually to Virginia’s economy.
It is the policy of Old Dominion University to provide equal employment, educational and social opportunities
for all persons, without regard to race (or traits historically associated with race including hair texture, hair
type, and protective hairstyles such as braids, locks, and twists), color, religion, sex or gender (including
pregnancy, childbirth, or related medical conditions), national origin, gender identity or expression, age,
veteran status, disability, political affiliation, sexual orientation or genetic information. Individuals from
minoritized communities, women, veterans and individuals with disabilities are encouraged to apply.