Postdoctoral Researcher in AI for Computational Fluid Dynamics @ Polymathic AI

New York University

New York (NY)

On-site

USD 63,000 - 125,000

Full time

4 days ago
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Job summary

New York University’s Center for Data Science in New York City invites applications for an exceptional Postdoctoral Researcher as part of the Polymathic AI initiative, focused on foundation models for computational fluid dynamics (CFD).

The selected candidate will join an interdisciplinary team, develop interpretable, high-performing AI models, and train large models for CFD within a vibrant, on-site environment.

Qualifications

  • Ph.D. in a relevant field.

Responsibilities

  • Conduct cutting-edge research applying AI methods to science.
  • Develop and train large AI models for CFD.
  • Collaborate with AI and CFD experts.
  • Mentor students, postdocs, software engineers and research scientists.

Education

Ph.D. in a relevant field

Job description

Location

New York, NY


Open Date

Sep 14, 2026


Description

Join Polymathic AI: Pioneering the Future of AI for Computational Fluid Dynamics!


The Center for Data Science at New York University (NYU) invites applications for an exceptional Postdoctoral Researcher as part of the Polymathic AI initiative, focused on foundation models for computational fluid dynamics (CFD).


As part of our team, you'll collaborate with leading researchers from diverse scientific domains, pushing the boundaries of AI to solve some of the most pressing scientific challenges in CFD. With access to competitive computational resources, we offer an exciting multidisciplinary environment where machine learning meets real-world scientific impact.


The selected candidate will join a vibrant, interdisciplinary team based in New York , spanning NYU and the Flatiron Institute, composed of machine learning researchers, engineers, and domain scientists. This collaborative environment offers a unique opportunity to work on cutting edge AI models.


What You'll Do:


Conduct cutting-edge research applying AI methods to science


Work closely with experts in AI and CFD


Contribute to the development of interpretable and high-performing AI models


Develop and train large AI models for CFD


Collaborate and/or mentor other students, postdocs, Software Engineers, Research Analysts and Research Scientists


In compliance with NYC's Pay Transparency Act, the full-time annual compensation range for this position is $62,500 - $125,000, depending on experience.


Why Join Us?


Collaborate with a world-class, interdisciplinary team


Access state-of-the-art compute capabilities for large-model training


Be part of a mission to redefine how AI advances scientific applications


This full-time, fixed-term position is based on-site at NYU's Center for Data Science in New York City, with an initial one-year appointment and potential for extension.


Qualifications


  • Ph.D. in a relevant field


Expected skills/functions:



  • Engage in research and train large AI models for science

  • Generate new large scientific datasets

  • Develop and maintain complex codebases

  • Read literature and integrate research across AI and scientific domains


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.


Sustainability Statement


NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more atnyu.edu/sustainability

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