National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Assistant Professor of Data Science in Computer Science (Tenure Track)

Commonwealth of Virginia
Norwich
1 month ago
Create job alert

Title:Assistant Professor of Data Science in Computer Science (Tenure Track)

Agency:ACADEMIC AFFAIRS

Location:Norfolk, VA

FLSA:

Hiring Range:

Full Time or Part Time:


Job Description:
The Department of Computer Science at Old Dominion University is seeking a full-time tenure-track faculty member withexpertise in the areas of artificial intelligence (AI), machine learning, data science, and related areas.We are especially interested in those who are interdisciplinary, applying their expertise to several other domains. The appointment will be at the Assistant Professor rank with an anticipated start date of July 25, 2025.

The position carries a teaching load of 3 courses/year with a reduced course load during the first two years. The Assistant Professor is also expected to actively pursue external research grants and supervise Ph.D. student research. Undergraduate research supervision is highly recommended. Interdisciplinary research collaboration with other researchers at ODU is encouraged. Notably, this Assistant Professor is expected to collaborate in teaching and research with Old Dominion University’s School of Data Science. Excellent collaborative research opportunities are also available at ODU’s School of Cybersecurity, School of Data Science, and at nearby NASA Langley Research Center, DoE’s Thomas Jefferson National Accelerator Facility, National Institute of Aerospace, Sentara Hospital with state-of-the-art operating room suite for image guided surgery, and the Virginia Modeling Analysis & Simulation Center.

Old Dominion University and the College of Sciences () are committed to inclusive excellence, recognizing that diversity enhances and enriches our educational mission, employment experience, and community engagement. We seek candidates whose research, teaching, and/or service experiences have prepared them to fulfill our commitment to inclusion. Minorities, women, veterans and individuals with disabilities are strongly encouraged to apply. Please refer to ODU’s Office of Institutional Equity and Diversity for more details: .
Minimum Qualifications:

Additional Considerations:

Special consideration will be given to candidates demonstrating a potential for collaboration with the current Computer Science faculty or for inter-disciplinary collaboration with other researchers at ODU.

Related Jobs

View all jobs

Assistant Professor in Applied Statistics or Actuarial Data Science (T&R)

Data Science Faculty of Data-Driven AI in Special Education (Tenure Track/Tenured)

Faculty in Data Science (Tenure Track/Tenured, Position # F1050A1)

University Assistant Professor in Machine Learning

Inkfish Research Scientist (Medical) in Large Language Models

Lead Analyst - Low Carbon Fuels

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.