Postdoctoral Researcher at Polymathic AI

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The Center for Data Science at New York University (NYU) invites applications for postdoctoral researchers as part of the Polymathic AI initiative, focused on generalization and transfer across scientific disciplines , as well as mechanistic interpretability of scientific foundation models .

The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar prediction … At the core of their ability is the capacity to generalize unseen data and to be applied as pretrained models to different domains. However, these properties remain only partially understood, exploring and advancing them, both during training and at test time, is crucial for developing the next generation of pan-scientific models.

The selected postdoctoral candidates 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 and advance AI for scientific discovery.

Expected Skills/functions

• Engage in research and train large AI models for science
• Generate new large scientific datasets
• Develop and maintain complex codebases
• Read and integrate research across AI and scientific domains literature
  
  

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $80,000-$100,000.

• Ph.D. in a relevant field
  
  

Please follow instructions in the Interfolio application and upload the following documents:

• Your curriculum vitae
  
  

Your research statement (1-2 pages)

Two (2) contact reference

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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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If you have questions about this posting, please contact [email protected]