The Department of Computer Science at The University of Texas at Austin invites applications for tenure-track faculty positions. We are accepting applications from outstanding candidates in all areas of computer science.
In addition to all core areas within CS, we encourage candidates with strong technical grounding in computer science whose work creates opportunities for interdisciplinary collaboration, including potential partial or joint appointments in other departments at The University of Texas at Austin. As part of UT Austin’s School of Computing, Computer Science has close ties with the Department of Statistics and Data Sciences and the Department of Information, creating additional opportunities for joint appointments and cross-disciplinary research. We are also particularly interested in candidates advancing AI for Science, as well as those working specifically at the intersection of computer science with neuroscience, biology, or medicine.
All interdisciplinary candidates are encouraged to send applications to all relevant departments for better university-wide coordination. Candidates working at the intersection of CS and Neuroscience are particularly encouraged to send applications to both departments to facilitate an explicit joint search. Candidates may also apply to the Neuroscience position via Interfolio (apply.interfolio.com/193043).
All positions are subject to the availability of funding.
The department is ranked among the top computer science departments in the country. It has 64 tenured and tenure-track faculty members across all areas of computer science. Beginning in Fall 2026, Computer Science will be one of three founding academic units in UT Austin’s new School of Computing, alongside Statistics and Data Science and Information. The new School is designed to strengthen collaboration and create new opportunities for cross-departmental research and education. Many faculty also participate in interdisciplinary programs and centers across the University, including Texas Robotics, the Machine Learning Laboratory, the Institute on Foundations of Machine Learning (an NSF AI Institute), Learning Directed Operating Systems (NSF Expeditions in Computing), the Center for Generative AI, the Good Systems Grand Challenge on Ethical AI, the Texas Advanced Computing Center (TACC), and the Oden Institute for Computational Engineering and Science.
Austin, the capital of Texas, is a major technology hub, home to significant operations from companies such as such as Amazon, AMD, Apple, Applied Materials, AT&T, Dell, Google, IBM, Meta, NVIDIA, Samsung, Silicon Labs, and Tesla. For more information about the department, please visit https://cs.utexas.edu.
All tenure-track positions require a Ph.D. or equivalent degree in computer science or a related area at the time of employment. Successful candidates are expected to pursue an active research program, to teach both graduate and undergraduate courses, and to supervise graduate students in research.
All faculty positions require a cover letter, current curriculum vita, research statement, teaching statement and selected publications. For all positions, applicants must provide the names and contact information for at least three (3) references. Confidential letters of recommendation will be requested directly from the letter writers through Interfolio.
Review of applications will begin on December 1, 2026. Please apply by then to ensure full consideration; however, the application system may remain open after that time. Applications received after the deadline are not guaranteed full consideration. Inquiries about your application may be directed to faculty-search@cs.utexas.edu.
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
