Assistant Professor, NeuroAI

PsyDin; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

Carnegie Mellon University Neuroscience Institute in Pittsburgh invites applications for a tenure-track faculty position spanning neuroscience, machine learning, robotics, cognitive science, and related fields. The role emphasizes research leadership, teaching excellence, and mentoring graduate students in a vibrant interdisciplinary setting.

The successful candidate will establish an externally funded program, teach within the Neuroscience Institute, recruit masters and PhD students, and

Qualifications

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

Responsibilities

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

Skills

PhD in neuroscience

Leadership potential

Teaching & mentoring

Neuroscience data modeling

Education

PhD or equivalent

Job description

Ghulam Qadir

Pittsburgh, Pennsylvania, USA full-time Remote

Electronics

EMPLOYER: Carnegie Mellon University, Neuroscience Institute

LOCATION: Pittsburgh, Pennsylvania, USA

TYPE: Full-Time, Tenure-Track

START DATE: July 1, 2027

APPLICATION DEADLINE: November 1, 2026 (full consideration, open until filled)

Requirements

• PhD or equivalent in neuroscience, machine learning, robotics, computer science, cognitive science/psychology, electrical engineering, or 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 visible, externally funded research program
• Teach and mentor in Neuroscience Institute
• Recruit and supervise masters and PhD students
• Contribute to curricular innovation including new masters program in neural technologies

About Cmu Neuroai

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 common. Collaboration with industry encouraged.