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

Nominate & Attend

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

Commonwealth of Virginia
Norwich
3 weeks ago
Create job alert

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

Agency:ACADEMIC AFFAIRS

Location:Norfolk, VA

FLSA:

Hiring Range:

Full Time or Part Time:


Job Description:
The School of Data Science at Old Dominion University invites applicants for an annual, 10-month position at the Assistant, Associate, or Full Professor rank as part of a multi-position hiring initiative for Data-Driven AI and Its Transformative Impact on Special Education Serving People with Chronic Health Conditions & Disabilities. We seek faculty that to develop/maintain a vibrant, externally funded interdisciplinary research program inartificial intelligence (AI)/machine learning (ML) and data science, with focused application in special education and overall education areas including, Emotional intelligence with earlier and better understanding,
AI-driven adaptive learning systems,
AI-driven therapeutic systems,
Immersive virtual learning environment,
Predictive analytics on behavior data and symptomology
AI-driven visual perception for special education.
The focus of this cluster hire is the interdisciplinary area of data-driven AI and its transformative impact on special education that serves people with various chronic health conditions and disabilities. AI and Machine Learning (ML) techniques are poised to significantly change many practices in special education, from emotional intelligence with earlier and better understanding of behavioral and neuro-cognitive deficits. Development of AI-driven adaptive learning systems, AI-driven therapeutic tools, immersive virtual learning environment and predictive analytics may benefit from availability of large-scale behavior and neuro-cognitive data. A few well-recognized examples include use AI-based computer vision techniques to recognize and identify subtle visual signs for early detection of autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), developmental disabilities, and Alzheimer and other dementia.

The appointee will also teach undergraduate and graduate courses and collaborate with other faculty in School of Data Science, Frank Batten College of Engineering & Technology, and Darden College of Education & Professional studies. The appointee is also encouraged to establish collaborations with the newly formed Brock Virginia Health Sciences, as well as data scientists at the nearby Thomas Jefferson National Accelerator Facility (Jefferson Lab) and NASA Langley Research Center (LaRC).

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.

Old Dominion University was founded in 1930. In preparation for our centennial anniversary, the institution initiated theCentennial Cluster Initiative,a hiring program designed to hire interdisciplinary clusters of faculty around emerging themes. As the first step of that initiative, we seek to hire 25 scholars who can contribute to the university’s growing research and teaching portfolio in the area of artificial intelligence. Those scholars will be housed in departments across campus and work together on scholarly activities related to artificial intelligence.
Minimum Qualifications:

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.

Related Jobs

View all jobs

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

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

Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

Lecturer in Data Science (Non-Tenured)

Data Science Lead - Pharos AI

Data Science Lead - Pharos AI

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.

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

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.