NYU Postdoctoral Associate - TAUR Lab Greg Durrett
Listed on 2026-07-01
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Science
Data Scientist, Research Scientist
Location: New York
Working with PI Greg Durrett and his students as part of the TAUR Lab at NYU ( (Use the "Apply for this Job" box below). ), you are expected to collaborate within the lab, contributing to existing projects and helping to lead new ones, to produce strong research in the form of published papers, code releases, and blog posts. Specific topics will be decided on in consultation between you, the PI, and the PI’s PhD students.
Broad topics of potential projects include LLM reasoning, LLM creativity, limitations of current scaling paradigms, AI for science, and more.
You will have access to compute resources in PI Durrett’s lab, including the NYU Torch and Greene clusters, Empire AI, cloud providers, and APIs for running inference with frontier models.
As part of the broader NYU community, you will have opportunities to collaborate with other faculty, postdocs, PhD students, MS students, and undergraduate students.
The appointment is initially for one year, with an expected renewal for a second year based on performance. This is an in-person position located at NYU's Washington Square campus in New York City.
In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $95,000-$105,000. 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.
Required qualifications:- PhD in Computer Science, Data Science, or a related field
- Strong publication record in NLP, ML, or related areas
- Strong engineering skills, including the modern LLM infrastructure stack
- Strong communication, teamwork, and leadership skills.
Apply by Feb 1, 2026, for priority consideration. This position will remain open until it is filled.
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.
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