[ES_JOBS_NET] Postdoc in Machine Learning for ocean mesoscales at NYU

[Johanna Goldman]

Dear colleagues,

We are looking for a postdoc to join our team at NYU and work at the
interface of climate science and machine learning.
The postdoc will perform research as part of the new multi-institution
international project, M²LInES https://m2lines.github.io, supported by
Schmidt Futures which aims to further our understanding of climate
processes and to reduce climate model biases at the air-sea/ice interface,
using scientific machine learning.

This specific position at NYU will focus on using output from
high-resolution simulations and data-assimilation products together with
machine learning models to deepen our understanding of ocean mesoscale
momentum and energy transport, in particular at the air-sea interface and
to develop new mesoscale parameterizations for use in existing global
climate models. For examples of our work in this area:
http://tinyurl.com/ymun5tbm ;  http://tinyurl.com/4en75d2m ;
https://www.essoar.org/doi/10.1002/essoar.10506419.1.

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/83079
For further information, contact us at m2lines at nyu.edu

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

Best, Laure
——
Laure Zanna
Professor of Mathematics & Atmosphere/Ocean Science, NYU
Courant Institute + Center for Data Science
https://laurezanna.github.io/

--
*This email was sent by Johanna Goldman on behalf on Laure Zanna*
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