Faculty Recruiting
We are recruiting in all areas. We especially invite groups of faculty that would like to continue a collaboration, or to establish one. But, all candidates with a passion for research and teaching and the ambition to change the world are encouraged to apply.
Schedule a visit
The Computer Science Ambassadors are current CS majors who meet with prospective students who are interested in pursuing a degree in computer science at the University of Texas at Austin.
Texas Robotics
Researchers from across multiple top-ten departments at UT Austin work to advance the capability of robotics in numerous application areas, including: social, surgical, rehabilitation, vehicles, drilling, manufacturing, space, nuclear, and defense.
Machine Learning Laboratory
Machine Learning Laboratory at UT Austin is the focal point of machine learning research on campus, featuring a community of over 100 researchers across various disciplines, including: computer scientists, engineers, linguists, ethicists, and mathematicians.
Latest News
Computing Across Disciplines: Texas Robotics
In this second installment of our three-part Computing Across Disciplines series, we highlight the new Robotics Honors Undergraduate Program launching in fall 2025. Created in partnership with Texas Robotics, computer science, and five engineering departments, the program supports students who want to get hands-on experience in robotics. It’s part of a growing number of options that support interdisciplinary education and reflect how today’s students want to study CS in context.
Computing Across Disciplines: X+CS
In this first installment of Computing Across Disciplines, we introduce X+CS, an interdisciplinary program launching in fall 2025. Developed in partnership with departments across UT Austin, X+CS allows students to study computer science alongside another field of interest. It’s part of a broader effort to give students more ways to apply CS in context and across disciplines.
UTCS Alumnus on Changing Paths and Finding Purpose in Tech
“The way that I always thought about it before I transitioned out of medicine and into computer science was that the scale of impact that I could potentially make with computer science is just much larger,” Tehrani said. “As a doctor, maybe I could save 100 lives, (but) with computer science, potentially, I can make a product or do something that could save millions of lives, or, impact millions of lives.”