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. Home to IFML and the Center for Generative AI, the Machine Learning Lab includes a community of over 100 researchers across various disciplines, including computer scientists, engineers, linguists, ethicists, and mathematicians.
Learning Directed Operating System Expedition
LDOS (Learning Directed Operating System) is an NSF Expedition in Computing project that imagines OSes of the future: systems that learn, adapt, and optimize themselves — across cloud to edge to robots. It’s about making devices and infrastructure that are smarter, more efficient, and more responsive to human needs.
Latest News
Advancing Faster, More Reliable Cloud and Edge AI
Support from AMD and NVIDIA helps Daehyeok Kim’s lab build more efficient and practical computing systems and give students hands-on research experience.
Careers Take Flight: Justin Taylor and Lockheed Martin Are Shaping UT’s Next Generation of Innovators
From UTCS graduate to Lockheed Martin Vice President, Justin Taylor’s career comes full circle as he returns to campus to champion Friends of Computer Science. By connecting students directly with real-world projects in AI and defense, Taylor is empowering the next generation of engineers to tackle problems that matter, right from where his own journey began.
Roberto Martín-Martín Earns 2026 IROS Toshio Fukuda Young Professional Award
UTCS Assistant Professor Roberto Martín-Martín has earned the prestigious 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Toshio Fukuda Young Professional Award. Supported by Texas Robotics and his team of researchers, Martín-Martín continues to push the boundaries of how robots adapt to new environments.
Talks & Events
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