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Pierre Gentine
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Postdoc Positions in Differentiable Modeling and AI for Weather-to-Climate Forecasting Columbia University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Columbia University

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About this position
Postdoctoral positions are available in Pierre Gentine’s group at Columbia University, within the NSF-LEAP center in New York and a new European project based at the Columbia Global Center of Paris.
The research focuses on differentiable modeling and AI agents for atmospheric weather-to-climate forecasting, in collaboration with the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. This is a strong fit for candidates interested in physics, atmospheric sciences, weather prediction, climate modeling, and machine learning methods such as neural networks.
Eligibility highlights: a strong background in physics and/or atmospheric sciences is required. Prior experience with differentiable modeling is ideal but not mandatory, and some experience with neural networks is preferred. The post emphasizes diversity and welcomes applicants from varied backgrounds.
To apply, email a CV to [email protected]. No formal deadline is mentioned in the post.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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