Postdoctoral Associate (Rich Laboratory
Listed on 2026-08-07
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Research/Development
Research Scientist, Postdoctoral Research Fellow, Biomedical Science
Location: New York
New York University: NYU - NY:
Arts and Science (A&S):
Center for Neural Science Location
New York
Open DateAug 03, 2026
DescriptionThis position is based in New York and the selected candidate will be expected to work onsite as of their effective start date.
The Rich lab at NYU's Center for Neural Science is looking for a postdoctoral associate to lead a research project focusing on the neural basis of reward processing and decision‑making. Experiments will involve behavioral, electrophysiological, and computational methods. Responsibilities will include participating in experimental design, collecting and analyzing data, and presenting and publishing findings.
In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $62,500 - $78,900. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer
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Ph.D in Neuroscience or related discipline
We welcome applications from international candidates; however, please note that NYU is not an E-Verify employer and therefore unable to support STEM OPT extensions.
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis.
All interested persons are encouraged to apply for vacant positions at all levels.
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