Assistant Professor of Computer Science

Assistant Professor of Computer Science

Job Class Code: 10031

FLSA: Exempt

Posting Number: FRGV
1903

Location: Rio Grande Valley, Texas

Division/Organization: Provost - Academic Affairs

Appointment Period for Non‑Tenure Position:

Tenure Status: Tenure Track

FTE: 1.0

The College of Engineering and Computer Science at The University of Texas Rio Grande Valley (UTRGV) invites applications for two tenure‑track faculty positions in the Department of Computer Science to begin in the fall of 2026. The Department of Computer Science currently offers several degree programs and research opportunities in the field of computer science with a total enrollment of over 1000 students.

The department offers an ABET‑accredited Bachelor of Science and a Master of Science in Computer Science, and a PhD program in Computer Science, which began in Fall 2024. The department faculty members perform research spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining, and applications of Computer Science. Together, the programs prepare students for graduate study in Computer Science and technology‑related fields, as well as careers in industry, particularly in software engineering, machine learning, human‑computer interaction, and web design/development.

For further information regarding UTRGV and the CSCI department, please visit https://(Use the "Apply for this Job" box below). The positions are for tenure track assistant professors; however, exceptional candidates may be considered for credit toward time on tenure track or for appointment as associate professor.

For priority consideration, applications must be received by December 1, 2025. Applications will continue to be reviewed until positions are filled. A complete application will include the following required documents:
Curriculum Vitae, Unofficial Transcripts, List of three References, Letter of Interest, Research Statement, and Teaching Philosophy.

UTRGV serves the Rio Grande Valley and beyond via an innovative and unique multicultural education dedicated to student access and success. By championing leading research, healthcare, and application of university discoveries, we support sustainable development, community engagement, and well‑being. The University of Texas Rio Grande Valley (UTRGV) is committed to building and sustaining a highly qualified and talented faculty to pursue excellence in everything that we do, including teaching, research, and service.

Drawing on our unique identity as the leading Hispanic‑Serving Institution in a bilingual and bicultural environment, UTRGV will promote student access and success by building on strengths in education and creating a vibrant campus experience. By 2027, we will accelerate transformation in the Rio Grande Valley and beyond by driving meaningful advancements in research and creative works, expanding access to high‑quality and affordable healthcare, and fostering authentic community engagement and integration.

UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the entire Rio Grande Valley and beyond. Over 91% of the students enrolled at UTRGV identify as Hispanic, making UTRGV one of the top three universities with the highest percentage of Hispanic students.

Applicants must have an earned doctorate degree in Computer Science or a related field from an accredited university or be expected to have completed all requirements for the degree by the start date of September 1, 2026.

Applicants must have a strong publication record, and skills in communication and collaboration. Candidates should be able to teach undergraduate/graduate computer science courses and provide evidence of the ability to establish an outstanding, funded research program at UTRGV.

• Experience and/or demonstrated ability developing and teaching courses integrating machine learning, artificial intelligence, data science, and/or intelligent engineering systems content.
• Experience and/or demonstrated ability to lead and propose new research projects…