Multiple Open Rank Faculty Positions – Artificial Intelligence Cluster Job

University of Texas at Arlington, United States

Updated: about 23 hours ago
Location: Arlington, TEXAS
Deadline: ;

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
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 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. 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, 2026, for the start of the Fall 2026 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. We are also interested in AI-enabled approaches in STEM that provide transparent, citation-driven justification for synthetic inferences and for the scientific or engineering conclusions they support.
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
We are proud to offer a comprehensive benefits package to all our employees at the University.
To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:
https://resources.uta.edu/hr/services/records/compensation-tools.php
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.
This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
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) A strong research program with existing external funding or potential for funding.
(4) Commitment to quality teaching at the graduate and undergraduate levels.
Preferred Qualifications
Special Conditions for Eligibility
Department Information
College of Business: Areas of priority include AI and Cybersecurity. We seek scholars with expertise in AI/ML and data science and their application to solve business problems. Preference will be given to candidates with expertise in cybersecurity. More information about the college can be found at: https://www.uta.edu/academics/schools-colleges/business
College of Engineering: Areas of priority include biomedical engineering, bioinformatics, health informatics, and public health informatics. We seek scholars with expertise in AI/ML and data science as applied to health informatics. More information can be found at:https://www.uta.edu/academics/schools-colleges/engineering

College of Science:Areas of priority include biostatistics and machine learning/AI applications in biomedical research. Of particular interest are scholars who specialize in computational analysis of biological data at different scales, including gene regulatory networks, biological imaging, infectious diseases, or genomics. More information on our research strengths in the College of Science can be found at:https://www.uta.edu/academics/schools-colleges/science
University Information
The University of Texas at Arlington (UTA) 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. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 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 and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times’ “Best for Vets: Colleges” and is the top university in North Texas for its graduates’ salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 – including leaders at many of the 24 Fortune 500 companies headquartered in North Texas – UTA contributes an estimated $29 billion annually to the Texas economy.
UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university’s strategic growth and commitment to serving the broader community. Furthermore, UTA has launched the RISE 100 initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 .
This is an exciting time to join UTA and contribute to its bold vision for the future.
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 817-272-5554 or email ADADocs@uta.edu .


Posting Detail Information


Number of Vacancies 3
Desired Start Date 09/01/2026
Open Date
Review Start Date
Open Until Filled
Special Instructions to Applicants
To apply applicants should go to https://uta.peopleadmin.com/postings/33327 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.


The priority deadline for review is March 1, 2026 Questions may be addressed to Kenny Zhu at kenny.zhu@uta.edu .
For more information about UTA, please visit: http://www.uta.edu/uta .

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