"Associate or Full Professor, Artificial Intelligence for Education Cluster"

Job Details

Associate or Full Professor, Artificial Intelligence for Education Cluster

Location: San Antonio, TX
Regular/Temporary: Regular
Job ID: 14490
Full/Part Time: Full Time

Position Information

Associate or Full Professor

The University of Texas at San Antonio, College of AI, Cyber, and Computing, College of Education & Human Development, College of Liberal & Fine Arts, and College of Sciences, invite applications for the positions of Associate or Full Professor, that latter to be appointed as a University of Texas System (UT System) Research Excellence Regents' Professor. Successful candidates will be part of a strategic cluster hiring initiative focused on AI for Education, with an anticipated start date in the Fall of the 2026-27 academic year.

The University of Texas System approved the creation of the Regents' Research Excellence Program across its four Emerging Research Universities (ERUs), including UT San Antonio. UT System has allocated funds across all four ERUs to fund the recruitment of research-active faculty to dramatically grow its national research prominence and federal funding opportunities. The university's allocation from UT System translates to approximately 40 new faculty positions for new, mid- to senior-level faculty over the next several years who will add expertise in research areas that will enhance competitiveness, help solve societal needs, and advance the university's capacity to meet UT System and state goals as outlined by the Texas Legislature.

UT San Antonio is utilizing our Clustered & Connected Hiring Program (CCP), which is designed to recruit and hire some of the best and brightest minds of varying backgrounds and experiences in select fields to UT San Antonio to join in efforts to address some of today's most significant challenges.

For the AI for Education CCP, the four positions open are areas:

Natural Language Processing and/or AI in Language Education

This Associate or Full Professor position seeks candidates with a proven record of advancing research in AI and language education or Natural Language Processing (NLP) for education, with a primary appointment in Bicultural-Bilingual Studies (COEHD) or Information Systems and Cybersecurity (CAICC), and a secondary appointment possible in Computer Science (CAICC) or Interdisciplinary Learning and Teaching (COEHD) as well as Bicultural-Bilingual Studies (COEHD) or Information Systems and Cybersecurity (CAICC). Candidates for this position must demonstrate strong evidence of high-impact scholarly work that contributes to interdisciplinary collaborations within AI and Education, particularly in NLP as it is applied to education, second or bilingual language learning, language teacher education, and/or spoken or written language data analysis in educational contexts. Candidates should have a strong track record of securing external funding and leading collaborative research projects, particularly at the nexus of education and AI. A deep understanding of NLP and/or human learning science, along with a record of teaching courses related to NLP, technology-enhanced language learning or assessment, AI in teacher education, and/or AI-driven language analysis, is critical. The candidates' work should reflect an innovative approach to integrating NLP for education or AI into language education, with a particular emphasis on pedagogically informed applications of AI. However, outstanding candidates whose primary expertise lies in either language education or NLP will also be considered, even if their work does not span both areas.

Computer Science with emphasis on AI in Ed (Natural Language Processing included)

This Associate or Full Professor position seeks candidates with a proven record of advancing research in AI within computing education contexts. This position enables a primary appointment in Computer Science (CAICC), with secondary appointments possible in Interdisciplinary Learning and Teaching (COEHD) or Bicultural-Bilingual Studies (COEHD). Candidates for this position must demonstrate strong evidence of high-impact scholarly work that contributes to interdisciplinary collaborations, particularly within computer science education. Candidates should have a strong track record of securing external funding and leading collaborative research projects. We are interested in transdisciplinary applicants with a deep understanding of AI in education and/or AI education, e.g., in developing and evaluating AI systems for teaching computing and AI concepts, learning analytics, and modeling. Candidates with research expertise in natural language processing, particularly its application to computing education context, are strongly encouraged to apply.

Educational Data Analysis (Methodologist) and/or Data Science Education

This Associate or Full Professor position seeks candidates with a proven record of advancing research in data science education, with an emphasis on research involving AI. This position enables a potential primary appointment in Mathematics (COS), with secondary appointments possible in Interdisciplinary Learning and Teaching (COEHD) or Computer Science (CAICC). Candidates for this position must demonstrate strong evidence of high-impact scholarly work that contributes to interdisciplinary collaborations, particularly within data science education and/or AI for educational data analysis. Candidates should have a strong track record of securing external funding and leading collaborative research projects. We will give strong preference to applicants with a deep understanding of AI in education, specifically in the teaching/learning of data science in a way that enables the creation and development of AI.

Ethics

This Associate or Full Professor position seeks candidates with an area of specialization in the ethics of artificial intelligence and open area of competence. This position enables a potential primary appointment in Philosophy & Classics (COLFA), with secondary appointments possible in Computer Science (CAICC) or Interdisciplinary Learning and Teaching (COEHD). AI technologies such as generative models are highly capable but also come with ethical challenges such as 1) biases in datasets, algorithms, and applications; (2) issues related to identifiability and privacy; (3) impacts on different groups; (4) health disparities; (5) abuse of AI systems and technology, (6) potential adverse social, individual, and community consequences of research, development, and widespread use, and (7) impacts on educational environments with respect to learning, skill, achievement, and engagement. We are interested in transdisciplinary applicants who can tackle present and emerging AI ethical problems and who can effectively and actively collaborate with members of various units at UT San Antonio that also study AI, such as the MATRIX consortium and the college of education and human development.

The University of Texas at San Antonio

The University of Texas at San Antonio (UT San Antonio) is a nationally recognized, top-tier public research university that unites the power of higher education, biomedical discovery and healthcare within one visionary institution. As the third-largest research university in Texas and a Carnegie R1-designated institution, UT San Antonio is a model of access and excellence — advancing knowledge, social mobility and public health across South Texas and beyond. UT San Antonio serves approximately 42,000 students in 320 academic programs spanning science, engineering, medicine, health, liberal arts, AI, cybersecurity, business, education and more. With 17,000 faculty and staff, UT San Antonio has also been recognized as a Top Employer in Texas by Forbes Magazine. Learn more online, on UT San Antonio Today or on X, Instagram, Facebook, YouTube or LinkedIn.

College of AI, Cyber, & Computing

Launched on September 1, 2025, the College of AI, Cyber, and Computing (CAICC) at UT San Antonio is a dynamic hub for innovation, education, and research in the digital age. With over 5,400 students, the college is committed to preparing the next generation of leaders in artificial intelligence, cybersecurity, computing, and data science. By integrating cutting-edge technology with interdisciplinary learning, the college empowers students and researchers to shape the future of technology. Located in the heart of downtown San Antonio, it bridges academic excellence with real-world industry partnerships, offering students unparalleled opportunities to gain hands-on experience and drive meaningful impact in a rapidly evolving digital landscape. The College of AI, Cyber and Computing stands as a testament to UT San Antonio's dedication to advancing knowledge, fostering innovation, and building a workforce ready to meet the challenges of tomorrow. Visit the college website to learn more.

College of Education & Human Development

The College of Education and Human Development (COEHD) at UT San Antonio prepares educators, administrators, counselors and health professionals with a global perspective on the educational, psychological, social and health needs of communities. It is the leading source of educators in the San Antonio area, with more than 600 teacher educators completing the teacher certification and professional certification programs each year. COEHD is a national and international model in innovative teaching practices and health professional development. It offers more than four dozen degrees and certificate programs to educate future teachers, principals, counselors, psychologists and kinesiologists in areas such as bilingual education, mental health counseling, educational leadership, nutrition and dietetics, and athletic medicine. More than 5,000 students are enrolled in the college, including the largest graduate enrollment at the university. Students study in one of six departments. A broad community enriches the educational experience at UT San Antonio, where about 45 percent will be the first in their families to earn a degree. Additionally, the college has a large number of community outreach initiatives underway such as mobile health screenings, counseling services and literacy programs. These community engagement opportunities provide much needed services to the community while preparing UT San Antonio top-tier students with hands-on experience in their fields.

College of Liberal & Fine Arts

The College of Liberal and Fine Arts (COLFA) at UT San Antonio is home to ten departments or schools, with 19 bachelor's programs, 12 MA programs, two PhD programs, and five centers for research. The mission of the College of Liberal and Fine Arts is to meet the needs of the broad population of Texas through quality research and creative work, exemplary teaching, and professional contributions to the community.

College of Sciences

The College of Sciences (COS) at UT San Antonio fosters innovation and excellence through teaching rooted in research across seven departments and 30 degree programs. With more than 4,800 students and 280 faculty, COS offers a supportive environment that empowers learning, collaboration, and achievement. Research strengths range from atoms to galaxies, cellular health to planetary dynamics, and the mathematical and physical principles that connect them all. Through experiential learning and discovery, COS equips the next generation of scientific leaders.

Application Information

The AI for Education Cluster aims to recruit distinguished scholars for four key faculty positions at the Associate/Full Professor level, dedicated to advancing interdisciplinary research and practice with teachers and students in both understanding how to use AI to support foundational learning and in understanding how AI itself works. Building on our existing faculty strengths, we focus on the fields of language learning, mathematics, and computer science. This cluster emphasizes the integration of emerging technologies, workforce development, literacy, ethics, and quantitative skills. The overarching goal is to develop high-impact collaborative research and innovative educational strategies that address the need for educational systems that not only use AI to personalize learning and scaffold cognitive growth, but also explicitly teach how AI systems function and integrate AI concepts across the curriculum to support digital literacy and lifelong learning. Faculty members in this cluster will lead interdisciplinary research projects, secure external funding, and support UT San Antonio's mission and commitment to advancing scientific knowledge. The AI for Education Cluster will play a crucial role in mentoring students, junior faculty, and early-career researchers, and preparing a broad student population.

Required Qualifications

The successful candidates will demonstrate evidence of meeting the following qualifications:

• Developing scholarly products that are critical to advancing research with an ability to collaborate and align within the interdisciplinary cluster, particularly in the four areas related to the cluster.
• Ability to work with and be sensitive to the educational needs of our student population.
• Experience mentoring undergraduate students, graduate students, and early-career researchers in relevant fields.
• Service to the university, relevant fields, and profession through leadership at the national and international level.
• Integrating technology into instruction, online teaching, or using other emerging technologies.
• Strong publication record in high-impact, peer-reviewed journals and conferences, and active participation in relevant professional organizations.
• Please refer to the description of each position above for additional details on research expertise and focus areas.
• This position requires the ability to maintain the security and integrity of UT San Antonio and its infrastructure.

Preferred Qualifications

• Expertise in designing and implementing community engagement and outreach strategies.
• Demonstrate a record of seeking external funding.
• Strong evidence of contributions that address the needs related to AI and Education of broad populations, particularly through partnerships serving those populations.

To apply, applicants must upload the following in a single PDF document:

• A current curriculum vitae.
• Complete contact information for at least three professional references.
• Cover letter (1 page limit).
• A research statement (3 page limit).
• A teaching statement (2 page limit).
• A statement highlighting potential areas for transdisciplinary collaboration (2-page limit).

Tenure is contingent upon Board of Regents approval, and applicants must show a demonstrated commitment.

Cluster Hiring Interview Process

UT at San Antonio aims to bring transdisciplinary and collaborative groups of faculty researchers to the university through its CCP program. As such, the on-campus interview for these positions will be conducted as a collaborative group interview, during which all on-campus candidates for a position will meet with university faculty and staff simultaneously. This collaborative process allows candidates to discuss potential research collaborations with fellow candidates and current faculty. Additionally, each candidate will be given the chance to present their job talk and engage the faculty, staff, and students from their discipline's home department.

This position will work primarily on campus. Travel and parking expenses are the employee's responsibility.

This position is contingent upon a successful background check. Verification of a valid driver's license and Motor Vehicle Record (MVR) may be completed as applicable. Applicants selected must be able to show proof of eligibility to work in the United States by time of hire.

Equal Employment Opportunity

As an equal employment opportunity and affirmative action employer, it is the policy of The University of Texas at San Antonio to promote and ensure equal employment opportunity for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability or genetic information, and veteran status. The University is committed to the Affirmative Action Program in compliance with all government requirements to ensure nondiscrimination.