Assistant/Associate/Full Professor of Computer Science (University of Texas Austin)

Tenure-Track Faculty Positions Department: Computer Science Location: Austin, Texas Position Type: Tenure-Track Faculty Description The Department of Computer Science at the University of Texas at Austin invites applications for tenure-track faculty positions. Outstanding candidates in all areas of computer science will be considered. We particularly encourage candidates with expertise in: Systems: security, databases, distributed systems, networking, programming languages, architecture Artificial Intelligence and Applications: foundational machine learning or machine learning applications All positions are subject to the availability of funding. The department is ranked among the top computer science departments in the country, with 57 tenured and tenure-track faculty members across all areas of computer science. Faculty frequently participate in interdisciplinary programs and centers, including: Texas Robotics Machine Learning Laboratory Institute on Foundations of Machine Learning (NSF AI Institute) Learning Directed Operating Systems (NSF Expeditions in Computing) Center for Generative AI Good Systems Grand Challenge on Ethical AI Texas Advanced Computing Center (TACC) Oden Institute for Computational Engineering and Science About Austin, TX: Austin is the capital of Texas and a center for high-technology industry, with companies such as Amazon, AMD, Apple, Applied Materials, AT&T, Dell, Google, IBM, National Instruments, Samsung, and Silicon Labs. For more information about the department, please visit: https://cs.utexas.edu Qualifications Ph.D. or equivalent degree in computer science or a related area at the time of employment Expected to pursue an active research program Expected to teach graduate and undergraduate courses Supervision of graduate students in research Application Instructions Applicants must submit the following materials: Cover letter Current curriculum vitae Research statement Teaching statement Selected publications Additionally, at least three (3) reference letters are required. Application Review: Review of applications will begin December 1, 2025 Applications received after the deadline may not receive full consideration Application Contact: Email inquiries: faculty-search@cs.utexas.edu If you apply for this position please say you saw it on Computeroxy

Tenure-Track Faculty Positions

Department: Computer Science
Location: Austin, Texas
Position Type: Tenure-Track Faculty

Description

The Department of Computer Science at the University of Texas at Austin invites applications for tenure-track faculty positions. Outstanding candidates in all areas of computer science will be considered.

We particularly encourage candidates with expertise in:

Systems: security, databases, distributed systems, networking, programming languages, architecture
Artificial Intelligence and Applications: foundational machine learning or machine learning applications

All positions are subject to the availability of funding.

The department is ranked among the top computer science departments in the country, with 57 tenured and tenure-track faculty members across all areas of computer science. Faculty frequently participate in interdisciplinary programs and centers, including:

Texas Robotics
Machine Learning Laboratory
Institute on Foundations of Machine Learning (NSF AI Institute)
Learning Directed Operating Systems (NSF Expeditions in Computing)
Center for Generative AI
Good Systems Grand Challenge on Ethical AI
Texas Advanced Computing Center (TACC)
Oden Institute for Computational Engineering and Science

About Austin, TX:
Austin is the capital of Texas and a center for high-technology industry, with companies such as Amazon, AMD, Apple, Applied Materials, AT&T, Dell, Google, IBM, National Instruments, Samsung, and Silicon Labs.

For more information about the department, please visit: https://cs.utexas.edu

Qualifications

Ph.D. or equivalent degree in computer science or a related area at the time of employment
Expected to pursue an active research program
Expected to teach graduate and undergraduate courses
Supervision of graduate students in research