Postdoc position in Machine Learning for Climate Extremes at NYU

[Johanna Goldman]

Dear colleagues, 

The Courant Institute and the Center for Data Science at NYU have an open postdoctoral position in scientific machine learning as part of a new multi-institution international project, M²LInES, which aims to further our understanding of climate processes and to reduce climate model errors using interpretable machine learning.

The postdoc will work with Profs Joan Bruna, Carlos Fernandez-Granda and Laure Zanna on the development of generalizable deep learning algorithms, with a focus on extreme events and uncertainty quantification. Predicting rare events from noisy and sparse data is a fundamental open question both in machine learning and climate applications. The postdoc will explore state-of-the-art approaches with the ultimate goal of improving machine learning models for climate processes (e.g., clouds, ocean mixing). An example of the kind of problems we are investigating can be found in this recent paper. 

The postdoc is expected to actively collaborate with the entire M²LInES project team. The position, available immediately, is a full-time appointment initially for one year, with the possibility of renewal for up to five years, subject to satisfactory performance and available funding. 

Applications should be uploaded at  apply.interfolio.com/94597

For further information, contact us at m2l...@nyu.edu 

I would be grateful if you could share this email with any qualified candidates. 

Best Regards,

 

Johanna Goldman on behalf of Joan Bruna, Carlos Fernandez-Granda and Laure Zanna