[ES_JOBS_NET] Postdoc position in deep learning for climate science 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
<https://m2lines.github.io/>. The scientific goal of this project is to
improve climate predictions by reducing climate model errors using machine
learning.

The postdoc will work with Profs Joan Bruna
<https://cims.nyu.edu/~bruna/>, Carlos
Fernandez-Granda <https://cims.nyu.edu/~cfgranda/> and Laure Zanna
<https://laurezanna.github.io/> on the development of generalizable deep
learning algorithms with a focus on uncertainty quantification.
Characterizing the uncertainty in the output of deep neural networks is a
fundamental open question in machine learning, which is particularly
critical in scientific applications. The postdoc will explore
state-of-the-art approaches with the ultimate goal of improving ML 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
<https://www.essoar.org/doi/10.1002/essoar.10506419.1>.

The position, available immediately, is a full-time appointment with the
possibility of renewal for up to five years, subject to satisfactory
performance.

Applications should be uploaded at: https://apply.interfolio.com/89069
For further information, contact us at m2lines at 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
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