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.

Qualifications:

• Ph.D. in a relevant field

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

• Your curriculum vitae
• Your research statement (1-2 pages)
• Two (2) contact references