Assistant Professor, NeuroAI

The Neuroscience Institute at Carnegie Mellon University is recruiting a tenure-track Assistant Professor working at the intersection of neuroscience and artificial intelligence, with a substantive connection to neuroscience through data, theory or modelling. Example topics include generative models of brain data, AI-based analysis tools for neural activity or connectivity, explainable AI grounded in cognitive or neuroscience principles, human-AI alignment, normative agentic models of animal behaviour, mechanistic models of memory or learning in neural networks, models of invariant representations and dynamics, and embodiment in natural and artificial systems.

Responsibilities include an externally funded research program, teaching and mentoring, supervising master's and PhD students, and curricular innovation such as a new master's program in neural technologies. Joint and courtesy appointments across departments are common. Review began immediately; applications received by 1 November 2026 receive full consideration, and the position is open until filled. The start date is 1 July 2027.

PhD or equivalent in neuroscience, machine learning, robotics, computer science, cognitive science or psychology, electrical engineering or a related field; evidence of research excellence and leadership potential; commitment to high-quality teaching and mentoring. Materials: one-page cover letter on fit with NI, CMU and the Pittsburgh community; three- to four-page research statement; one- to two-page teaching statement; CV; three recommendation letters; optional one-page personal and service statement.