Assistant Professor, NeuroAI

Carnegie Mellon University; False Pass (AK); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Carnegie Mellon University invites applications for a tenure-track Assistant Professor in the Neuroscience Institute, focusing on research at the intersection of Neuroscience and Artificial Intelligence. Candidates should pursue data-driven, theory-driven, or modeling work with substantial neuroscience relevance.

The successful candidate will join a vibrant, collaborative environment spanning CMU's departments.

Qualifikationen

• Ph.D. 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.

Aufgaben

• Establish an innovative research program at the intersection of neuroscience and AI.
• Teach and mentor students at undergraduate and graduate levels.
• Collaborate across CMU departments and participate in interdisciplinary initiatives.

Kenntnisse

Neuroscience

Artificial Intelligence

Interdisciplinary research

Teaching and mentoring

Ausbildung

Ph.D. in neuroscience, ML, robotics, CS, cognitive science/psychology, EE, or related field

Jobbeschreibung

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.

Information about the Neuroscience Institute can be found at https://www.cmu.edu/ni/ .

Qualifications

Ph.D. 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; and a commitment to high-quality teaching and mentoring.

Equal Employment Opportunity Statement

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.