Assistant Professor, Computational Neuroscience & AI

1000scholars; Austin (TX); On-site; USD 130,000 - 150,000; Full time

Job summary

The University of Texas at Austin invites applications for a tenure-track Assistant Professor in Neuroscience, focusing on computational neuroscience and bridging neuroscience with artificial intelligence, machine learning, and other computational sciences.

Candidates will join a dynamic, collaborative ecosystem with access to top computing resources and opportunities across centers such as the Center for Theoretical and Computational Neuroscience and the Machine Learning Laboratory.

Qualifications

• Ph.D. or equivalent with training in computer science, neuroscience, or related field.
• Strong background in computational/theoretical neuroscience.
• Experience bridging neuroscience with AI/ML is preferred.

Responsibilities

• Develop and maintain an active research program.
• Collaborate across interdisciplinary neuroscience and computing centers.
• Contribute to teaching and service in a tenure-track environment.

Skills

Computational neuroscience

Machine learning

Education

Ph.D. in CS/Neuroscience or related field

Tools

High-performance computing

Job description

The University of Texas at Austin invites applications for a tenure-track Assistant Professor in Neuroscience, focusing on computational neuroscience and bridging neuroscience with artificial intelligence, machine learning, and other computational sciences.

Candidates will join a dynamic, collaborative ecosystem with access to top computing resources and opportunities across centers such as the Center for Theoretical and Computational Neuroscience and the Machine Learning Laboratory.