Ph.D. in Computer Science - Machine Learning and Autonomous Robotics

Academic Overview & Description

Ranked among the top 10 computer science programs in the world, investigating transformer architectures, reinforcement learning in physical robotics, distributed systems, and quantum algorithms.

Funding & Financial Support

Funding Award

Graduate Fellowships covering 100% tuition, $38,000 annual living stipend, and TACC supercomputer allocation

Tuition Rate

Covered by fellowship

Application Fee

$90

Admission & Candidate Requirements

Academic GPA

BS or MS in computer science, mathematics, or related STEM field with 3.6+ GPA

English Language

TOEFL 90+ or IELTS 7.0

Standardized Exam

GRE scores optional

Application Materials

Research statement and published portfolio

Letters of Recommendation

Three letters of academic recommendation

Institutional Guidance

For official application submission procedures, portal logins, and faculty matching, consult The University of Texas at Austin's detailed profile or visit the department application portal.

Verified record · Updated 2026-10-16 · Editorial standards