Assistant Professor, NeuroAI

About the Role

Carnegie Mellon University's Neuroscience Institute is seeking a full-time, tenure-track faculty member in Electronics, based in Pittsburgh, Pennsylvania. The start date is July 1, 2027. Applications received by November 1, 2026 will receive full consideration, and the position will remain open until filled.

Requirements

• PhD or equivalent in neuroscience, machine learning, robotics, computer science, cognitive science/psychology, electrical engineering, or a related field
• Evidence of research excellence and potential for leadership
• Commitment to high-quality teaching and mentoring
• Substantive connection to neuroscience through data, theory, or modeling

Research Areas

• Generative models of brain data
• AI-based analysis tools for neural activity or connectivity
• Explainable AI grounded in cognitive/neuroscience principles
• Human-AI alignment
• Normative agentic models of animal behavior
• Mechanistic models of memory or learning in neural networks
• Descriptive models of invariant representations and dynamics
• Embodiment in natural and artificial systems

Responsibilities

• Establish a visible, externally funded research program
• Teach and mentor in the Neuroscience Institute
• Recruit and supervise master's and PhD students
• Contribute to curricular innovation, including a new master's program in neural technologies

About CMU NeuroAI

The position offers a vibrant collaborative environment leveraging world-class research in machine learning, AI, robotics, cognitive and systems neuroscience, neurotechnology, data science, engineering, and biological sciences. Joint appointments are common, and collaboration with industry is encouraged.