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University of Pennsylvania
Philadelphia, Pennsylvania, United States
(on-site)
Posted
1 day ago
University of Pennsylvania
Philadelphia, Pennsylvania, United States
(on-site)
Job Type
Full-Time
Job Function
Medical
Research Assistant Professor of Neuroscience
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Research Assistant Professor of Neuroscience
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description

Research Assistant Professor of Neuroscience
Location: Philadelphia, PA
Open Date: Nov 05, 2025
Deadline: Nov 05, 2027 at 11:59 PM Eastern Time
The Department of Neuroscience at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non-tenure research track. Expertise is required in the specific area of state-of-the-art recording and manipulation techniques, including high-density electrophysiology, optogenetics, and computational analysis of neural data and proficiency with behavioral learning paradigms. Applicants must have a Ph.D. or equivalent degree.
Research or scholarship responsibilities may include the development of an independent research program focused on the circuit-level mechanisms underlying sleep regulation in the mammalian brain.
Candidates should have a distinguished record of scholarship, evidenced by publications on in vivo electrophysiology and on the neural control and function of sleep. The successful candidate will be expected to attract and maintain extramural funding. Teaching responsibilities may include training of graduate students and post-doctoral investigators.
Qualifications
Application Instructions
To apply, visit https://apply.interfolio.com/176419
Equal Employment Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.
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Job ID: 84982305
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