Faculty Positions – Artificial Intelligence Cluster

Posting Details

Position Information:
Posting Number F00726P.

Position Title:

Multiple Open Rank Faculty Positions – Artificial Intelligence Cluster. Job Department:
Provost Office.

Location:

Arlington. Job Family:
Faculty Position. Status:
Full-time, Open‑T/TT.

Work Hours:

Standard. Open to External and Internal. FLSA:
Exempt. Duration:
Funding expected to continue. Pay Basis:
Monthly. Benefits Eligible:
Yes. Position commencement:
September 1 2026.

The University of Texas at Arlington (UTA) is pleased to announce a cluster hiring initiative in artificial intelligence (AI). We seek to recruit a cluster of distinguished faculty members that will contribute toward strong AI, i.e., AI systems that are grounded in human‑curated domain knowledge such as natural laws, scientific theories, commonsense facts, and regulatory constraints. These systems have capabilities to explain their outputs by how they reason based on knowledge, that understand risks and ensure responsible actions that meet societal expectations, that are resistant to attacks and manipulation, and that adjust their behaviors by fusing human intelligence with machine intelligence.

The proposed cluster includes multiple open‑rank (tenured or tenure‑track) positions. By integrating diverse yet complementary specialties, this cluster hire will foster interdisciplinary collaboration, drive innovative research, and develop holistic approaches to AI challenges.

This strategic assembly will not only enhance UTA’s research capabilities in multiple disciplines but also position it as a leader in creating trustworthy, responsible intelligent systems that can challenge human cognitive functions across various domains. The ideal candidate will advance learning and knowledge through research, teaching, service, and commercialization in disciplines in our College of Business, College of Engineering, and the College of Science.

• Neural-symbolic AI:
  Neural-symbolic AI integrates the learning capabilities of neural networks with the reasoning and representational abilities of symbolic AI, enabling more complex reasoning and problem‑solving.
• Human-in-the-loop Machine Learning:
  Design interactive AI systems that leverage human intuition and expertise, exploring ethical considerations such as bias, privacy, accountability, and impact on individuals and communities.
• Probabilistic Modeling Toward Strong AI:
  Expertise in probabilistic graphical models, Bayesian networks, causal inference, Markov random fields, hidden Markov models, high‑dimensional probability, and stochastic modeling.
• Explainability:
  Develop techniques for explainable AI including feature attribution, counterfactual explanations, visualization techniques, and interpretable machine learning models.
• Secure AI:
  Design and implement security measures to protect AI technologies from adversarial attacks, data breaches, and other vulnerabilities.
• AI and
  
  Education:
  
  Equip the next generation with responsible AI skills, extend AI education beyond traditional student populations, and demonstrate curriculum development, workforce development, and outreach.

The successful applicant will be committed to excellence in research, teaching, and service and will be expected to teach undergraduate and/or graduate courses, build and lead a team of student researchers, implement a program of externally funded research that yields top‑tier publications, and contribute to professional service within UTA and the external community.

• A Ph.D. or equivalent in one of the disciplines noted above or a related discipline that aligns with a focus on research in Strong AI.
• A strong publication record or potential in the field of expertise.
• A strong research program with existing external funding or potential for funding.
• Commitment to quality teaching at the graduate and undergraduate levels.

Preferred qualifications and special conditions for eligibility vary by college.

College of Business: Areas of priority include AI and Cybersecurity. Preference for scholars with expertise in AI/ML, data…