Overview
On Site
USD 80,000.00 - 100,000.00 per year
Full Time
Skills
Data Science
Astrophysics
Fluid Mechanics
Biology
Training
Machine Learning (ML)
Science
Artificial Intelligence
Regulatory Compliance
Curriculum
Research
Job Details
Description
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:
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $80,000-$100,000.
Qualifications
Application Instructions
Please follow instructions in the Interfolio application and upload the following documents:
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.
Qualifications
- Ph.D. in a relevant field
Application Instructions
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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