Assistant Professor, NeuroAI

Society for Neuroscience; Pittsburgh (Allegheny County); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Carnegie Mellon University’s Neuroscience Institute invites applications for a tenure-track Assistant Professor at the intersection of Neuroscience and Artificial Intelligence. We welcome research programs that connect neuroscience with data, theory, or modeling.

The successful candidate will join a vibrant, collaborative environment spanning CMU departments with opportunities for joint and courtesy appointments, entrepreneurship support, and interdisciplinary neural computation initiatives.

Responsibilities

• Establish a visible, externally funded research program.
• Teach and mentor in the Neuroscience Institute.
• Recruit and supervise master's and Ph.D. students.
• Contribute to curricular innovation, including emerging initiatives, such as a new masters program in neural technologies.

Job description

Carnegie Mellon University (CMU) invites applications for a tenure-track Assistant Professor in the Neuroscience Institute from scholars working broadly at the intersection of Neuroscience and Artificial Intelligence. We welcome a wide range of research programs, provided they maintain a substantive connection to neuroscience through data, theory, or modeling. Examples of relevant research topics include but are not restricted to: 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, and embodiment in both natural and artificial systems.

The successful candidate will join a vibrant, collaborative environment spanning multiple departments at CMU. Our NeuroAI group leverages CMU’s world-class research in machine learning and AI, robotics, cognitive and systems neuroscience, neurotechnology, data science, engineering, and biological sciences. Joint appointments and courtesy appointments across departments are common in the Neuroscience Institute, and may be an opportunity for some candidates. CMU has a well-established structure for interdisciplinary collaboration in this domain, including specialized programs in neural computation and machine learning, and neurorobotics. The NI also encourages collaboration with industry and commercialization of new ideas. Aspiring entrepreneurs can be supported by a variety of business resources at CMU such as the Swartz Center and new entrepreneurship initiatives.

Candidate responsibilities include establishing a visible, externally funded research program; teaching and mentoring in NI; recruiting and supervising both masters and Ph.D. students; and contributing to curricular innovation, including emerging initiatives, such as a new masters program in neural technologies. Information about the Neuroscience Institute can be found at https://www.cmu.edu/ni/.