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Job advertisement Postdoc in Machine Learning for ocean mesoscales at NYU

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European Geosciences Union

Postdoc in Machine Learning for ocean mesoscales at NYU

Postdoc in Machine Learning for ocean mesoscales at NYU


New York University - Courant Institute of Mathematical Sciences


New York City, United States of America


Relevant divisions
Atmospheric Sciences (AS)
Climate: Past, Present & Future (CL)
Ocean Sciences (OS)

Full time

Entry level


Required education

Application deadline
Open until the position is filled

2 June 2021

Job description

NYU Courant’s Center for Atmosphere Ocean Science and Center for Data Science invite applications for a postdoctoral researcher to work with Profs Laure Zanna, Joan Bruna, and Carlos Fernandez-Granda at the interface of climate science and machine learning.

The postdoc will perform research as part of the new multi-institution international project, M2LInES 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.

The role of this specific postdoc 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, see ; ;

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.


  • Completion of a PhD in Geosciences, Climate Science, Physical Oceanography, Applied Mathematics, Physics, engineering, or a related field at the time of the appointment;

  • Strong programming skills with expertise in analysis of datasets ;
  • Background in either fluid dynamics, turbulence, physical oceanography, climate science, or related field;
  • Additionally, experience, or demonstrated interest, in machine learning and deep learning in particular would be desirable.
  • Candidates should have a record of relevant publications in the peer-reviewed scientific literature appropriate to their career stage and the ability to work independently and as part of an interdisciplinary team.

How to apply

For full consideration, applicants should submit the following by 06/15/2021 at this link :

  • a Curriculum Vitae with a list of publications,
  • a cover letter (no more than 2 pages) detailing their research experience, how their interests would fit the project, career plans, and available start date,
  • 3 letters of recommendation.

For additional information please contact the NYU PIs (Zanna, Bruna, Fernandez-Granda) at