Tenure-Track Assistant Professor — Computational Neuroscience & AI

University of Texas at Austin; Austin (TX); On-site; USD 95,000 - 140,000; Full time

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 ideal candidate will bridge neuroscience with artificial intelligence, machine learning, and related computational sciences.

Candidates with interests in brain-computer interfaces, computational psychiatry, and precision neuroscience are welcome to apply. Applicants must have a Ph.D.

Qualifications

• Ph.D. or doctoral-equivalent degree required.
• Specialization in computational/neuroscience or related field.
• Experience bridging neuroscience with AI/ML is desirable.

Responsibilities

• Establish and lead a productive research program in computational neuroscience.
• Contribute to teaching at undergraduate/graduate levels and mentoring of students.
• Collaborate with researchers across departments and programs.

Skills

Computational neuroscience

Machine learning

Cross-disciplinary collaboration

Education

Ph.D.

Job description

The University of Texas at Austin invites applications for a tenure-track Assistant Professor in Neuroscience with a focus on computational neuroscience. The ideal candidate will bridge neuroscience with artificial intelligence, machine learning, and related computational sciences.

Candidates with interests in brain-computer interfaces, computational psychiatry, and precision neuroscience are welcome to apply. Applicants must have a Ph.D.