Tenure-Track Assistant Professor in Neuroscience (2027)

University of Texas at Austin; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and startup funds

Access to advanced computing resources

Job summary

The University of Texas at Austin invites applications for a tenure-track Assistant Professor in Neuroscience with a focus on computational neuroscience. The successful candidate will bridge neuroscience and artificial intelligence, ML, and other computational disciplines, contributing to an interdisciplinary research community.

Candidates should hold a Ph.D. or equivalent and demonstrate potential for scholarly distinction, innovative teaching, and collaboration across the department and

Qualifications

• Ph.D. or equivalent in computer science, neuroscience, or a related field.
• Research in computational neuroscience and AI/ML interfaces.
• Evidence of scholarly impact and teaching potential.

Skills

Computational neuroscience

Theoretical approaches

Interdisciplinary collaboration

Education

Ph.D. in neuroscience or related field

Job description

Tenure-Track Assistant Professor in Neuroscience(2027)

College/School/Unit: College of Natural Sciences

Department: Department of Neuroscience

Posted: Sep 21, 2026

Apply By: Nov 22, 2026

Description

The Department ofNeuroscience at The University of Texas at Austin invites applications for a tenure-track faculty member at the rank of Assistant Professor, who is working in the area of computational neuroscience and motivated to become an influential researcher, educator, and contributor to the scholarly community.

The Department is seeking candidates involved in computational/theoretical approaches that bridge the gap between neuroscience and artificial intelligence, machine learning, and other areas of computational sciences. We are seeking a new colleague whose work will synergize with our faculty engaged in cellular/molecular, cognitive/behavioral, and systems neuroscience. Other areas of interest include, but are not limited to, brain-computer interfaces, computational psychiatry, and other links to precision medicine and neuroscience research.

Benefits and Perks

• This position entails highly competitive salary and start-up funds commensurate with level of appointment.
• Full access to the Texas Advanced Computing Center supercomputers, and the option to join various multi-disciplinary neuroscience and advanced computing centers on campus, including the Center for Theoretical and Computational Neuroscience, the Center for Perceptual Systems, the Machine Learning Laboratory, the Center for Generative Artificial Intelligence, the Center for Learning and Memory, the Oden Institute for Computational Engineering and Science, and the Center for Computational Medicine.

The University of Texas at Austin has strong and interactive research programs in Neuroscience, Psychology, Computer and Computational Science, Statistics, Mathematics, Engineering, Physics, Chemistry, and Molecular Biology, with an established culture of cross disciplinary collaboration.

Austin is widely recognized as one of America's most beautiful and livable cities, and the University recognizes the need to balance work and life. For information about the University's life and workpolicies, including family friendly policies, visit: https://ombuds.utexas.edu/faculty/human-resources-worklife-balance.

Applications received by November 22, 2026, will receive full consideration.

Qualifications

The position requires a Ph.D. or equivalent degree with training incomputer science, neuroscience, or a related field.

Equal Employment Opportunity Statement

The University of Texas at Austin, as an equalopportunity/affirmative action employer, complies with allapplicable federal and state laws regarding nondiscrimination andaffirmative action.

The University is committed to a policy ofequal opportunity for all persons and does not discriminate on thebasis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs andactivities, and admissions.