Open Rank Faculty Position (Assistant or Associate Professor) in Computational Neuroscience
Computational Neuroscience, Machine Learning, Artificial Intelligence and tenure-system faculty / open rank (Assistant or Associate Professor) position at The University of Texas at Dallas
Apply by Sunday, Feb 28
Closing time not stated; check the source.
About
The Department of Neuroscience in the School of Behavioral and Brain Sciences at UT Dallas is hiring a tenure-system faculty member at open rank (Assistant or Associate Professor) as part of a computational neuroscience cluster hiring initiative. The search targets expertise in neural coding, computation and dynamics, or approaches at the intersection of neuroscience and artificial intelligence, including large language models. The ideal candidate runs collaborative dry-lab research aligned with departmental strengths such as learning and memory, decision making, motor control, affective neuroscience, sensory perception and pain.
The appointment begins in the fall 2027 semester (desired start 1 August 2027); salary is negotiable. Completed applications received by 31 December 2026 receive priority, and the posting closes on 28 February 2027.
Topics
Requirements
PhD in neuroscience, computer science, mathematics or a related discipline before employment, with evidence of an innovative, productive research program with clear funding potential and commitment to teaching, research and service. Assistant Professor candidates are expected to have postdoctoral training and a robust publication record; Associate or Full Professor candidates need research productivity and funding commensurate with rank. Application materials: CV and cover letter, teaching philosophy statement, research statement including mentoring approach, a writing or publication sample, and contact details for at least three references.
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Source: jobs.utdallas.edu