[EOI] Postdoctoral Researcher at Polymathic AI: Generalization and Transfer in Scientific AI

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 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 these properties, during both 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, with a focus on generalization and interpretability, and advance AI for scientific discovery.

In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $62,500 - $125,000. 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.

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

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

• CV
• Two publications
• Two references