[ES_JOBS_NET] Postdoc/Research Associate at NYU in Machine Learning/Scientific Computing for high-dimensional systems

[Johanna Goldman]

Dear colleagues,

The Center for Data Science and the Courant Institute at New York
University (NYU) invite applications for a postdoctoral or research
associate position to lead scientific machine learning research as part of
a new multi-institution international project, M²LInES
<https://m2lines.github.io/>. The scientific goal of this project is to
develop machine learning techniques to improve climate change simulations.

The successful applicant will integrate the M²LInES NYU team, currently
composed of Profs Joan Bruna <https://cims.nyu.edu/~bruna/>, Carlos
Fernandez-Granda <https://cims.nyu.edu/~cfgranda/> and Laure Zanna
<https://laurezanna.github.io/>, as well as multiple postdoctoral
researchers, and graduate students, and collaborate closely with M²LInES
researchers at other institutions. The successful candidate will contribute
by developing independent ideas at the growing interface between Machine
Learning and Climate Science. Topics currently under study include closure
modeling for high-dimensional systems, uncertainty quantification,
inference with massive heterogeneous noisy datasets, interpretability,
latent space search, and dimensionality reduction, with the broader context
of further integrating Machine Learning algorithms and foundations into
Scientific Computing for physics applications (e.g., fluid flows).

This appointment, available immediately, will be for one year initially,
with the possibility of renewal for up to 3 years, based on performance and
availability of funding.

Applications should be uploaded at: https://apply.interfolio.com/104868
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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