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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 available
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Country

United States

University

Columbia University

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Keywords

Computer Science
Environmental Science
Earth Science
Artificial Neural Network
Numerical Weather Prediction
Statistics
Physics
Post Doc
Atmospheric sciences

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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.

More information can be found here

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