Location: Arlington,TX, USA
Posting Number F00597P Position Title Multiple Open Rank Faculty Positions - AI Cluster Job Department Provost Office Location Arlington Job Family Faculty Position Status Full-time Rank Open-T/TT Work Hours Standard Open to External and Internal FLSA Exempt Duration Funding expected to continue Pay Basis Monthly Benefits Eligible Yes Job Summary
The University of Texas at Arlington (UTA) is pleased to announce a cluster hiring initiative in Strong 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 Education, College of Engineering, College of Liberal Arts, College of Nursing and Health Innovation, College of Science, and School of Social Work. Upon employment, each faculty member's tenure home will be in one of these colleges or schools.
The new faculty hires will bridge disciplines across the college/school and their departments, stimulating innovative research and teaching efforts. Candidates are expected to demonstrate the ability to work effectively in a highly collaborative, engaging, and dynamic environment comprising individuals with various backgrounds, skills, and perspectives.
We seek candidates with funded research programs who can produce research and scholarly or creative achievements that enhance UTA programs and disciplines. A strong promise of extramural grant funding will also be considered for Assistant Professor applicants. New faculty will be expected to deliver high-quality teaching using evidence-based practices to engage students from various backgrounds and experiences effectively.
The appointments are expected to commence September 1, 2025, for the start of the Fall 2025 semester.
Important Message
All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others, and discretion in all interactions with members of the UT Arlington community and the general public.
ASSISTANT/ASSOCIATE/FULL PROFESSOR
Job Summary
We are seeking candidates with expertise in Strong AI, as broadly described above. The following is a non-exhaustive sample of research areas that align well with our interests.
1) Neural-symbolic AI: Symbolic AI operates on structured data, knowledge graphs, physics theorems, rules, and logic, enabling explicit reasoning and the manipulation of abstract concepts based on prior human knowledge. Neural-symbolic AI integrates the learning capabilities of neural networks with the reasoning and representational abilities of symbolic AI, thereby enabling more complex reasoning and problem-solving that meet real-world expectations.
2) Human-in-the-loop Machine Learning: The ideal candidate will bring innovative approaches to designing interactive AI systems that leverage human intuition and expertise to guide the learning process, improve data annotation, and refine model decisions. The ideal candidate is also expected to explore the critical interplay between AI technologies and ethical considerations, particularly the moral, societal, and legal implications of AI, such as bias, privacy, accountability, and the impact of AI decisions on individuals and communities.
3) Probabilistic Modeling Toward Strong AI: We are seeking candidates whose expertise is grounded in a sophisticated understanding of how probabilistic modeling plays a crucial role in knowledge-informed machine learning. The ideal candidate will have a strong background in developing and integrating probabilistic graphical models, Bayesian networks, causal inference, Markov random fields, hidden Markov models, high-dimensional probability, stochastic modeling, and other relevant ideas and techniques.
4) Explainability: This area focuses on unraveling the complexity of AI models to make their decisions understandable and transparent to both experts and non-experts alike. The ideal candidate will possess a deep expertise in developing innovative techniques and methodologies for explainable AI, including but not limited to, feature attribution methods, counterfactual explanations, visualization techniques, and interpretable machine learning models.
5) Secure AI: This area emphasizes the convergence of AI technologies and cybersecurity practices. The candidate will focus on designing and implementing cutting-edge security measures to protect AI technologies from adversarial attacks, data breaches, and other vulnerabilities, ensuring that AI systems are resilient against evolving threats. Their work should emphasize not only the theoretical underpinnings of AI security but also practical applications.
6) AI and Education: This area of focus aims to equip the next generation of IT professionals and workforce at large with the knowledge and skills necessary for the responsible application and creation of AI technologies. A significant aspect is to extend AI education beyond traditional student populations to encompass the broader society, thereby enhancing public understanding of AI's potential and challenges. The successful candidate will demonstrate a strong track record in curriculum development, workforce development, educational program evaluation, and outreach activities.
Benefits at UTA
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CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.
Essential Duties and Responsibilities
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.
Required Qualifications
Minimum requirements for this position include: (1) 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; (2) a strong publication record or potential in the field of expertise; (3) strong research program with existing external funding or potential for funding; and (4) commitment to quality teaching at the graduate and undergraduate levels.
Preferred Qualifications Special Conditions for Eligibility Department Information
College of Business:
College of Education:
College of Engineering:
College of Liberal Arts:
College of Nursing and Health Innovation:
College of Science:
School of Social Work:
University Information
The University of Texas at Arlington is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. UTA is a comprehensive teaching, research, and public service institution dedicated to the advancement of knowledge through scholarship and creative work. The University is committed to providing access and ensuring student success, and to a culture of innovation, entrepreneurship, and commercialization of discoveries by our community of scholars. With an enrollment of more than 40,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 Very High Research Activity institution. UTA ranks No. 4 nationally in Military Times' annual Best for Vets: Colleges list and is among the top 30 performers nationwide for promoting social mobility of its graduates (U.S. News & World Report, 2023). UTA is designated by the U.S. Department of Education as both a Hispanic-Serving Institution (HSI) and an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI), and it has one of the top 5 most ethnically diverse undergraduate student bodies in the United States (U.S. News & World Report, 2023). Its approximately 270,000 alumni, including some who occupy leadership positions at many of the 24 Fortune 500 companies headquartered in North Texas, contribute to UTA's $22.2 billion annual economic impact on Texas.
Furthermore, UTA is poised to experience widespread growth in the near future. The university recently launched the first phase of its RISE 100 initiative aimed at recruiting 100 new tenure-system faculty to amplify research standing and position UTA as a leader in key scholarly areas; more details are available at The successful candidate for this position will have the opportunity to join UTA during an exciting period of growth and contribute as the university broadens its impact.
Working Title EEO Statement
It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University's compliance with this policy.
ADA Accommodations
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-###-#### or email ...@uta.edu.
Posting Detail Information
Number of Vacancies 4 Desired Start Date 09/01/2025 Open Date 10/17/2024 Review Start Date Open Until Filled Yes Special Instructions to Applicants
To apply applicants should go to and submit the following materials:
* Full CV and cover letter summarizing their interests and qualifications for the position.
* Research statement describing past, present, and future research, including how they foster (or will foster) collaborative and interdisciplinary research environments. Please highlight current funding.
* Statement of teaching philosophy describing their conceptualizations of teaching and learning, teaching and assessment methods, and how their teaching practices will engage students from a range of backgrounds and experiences.
* Full contact information for at least three academic or professional references.
Review date will begin immediately and and will continue until the position is filled.
Questions may be addressed to ...@uta.edu.
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