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Postdoctoral Associate - Ocean and Climate Modeling

New York University

Job Description

Postdoctoral Associate - Ocean and Climate Modeling


Full Job Description

New York University: NYU - NY: Courant Institute of Mathematical Sciences: NYU Courant Math and NYU Center for Data Science


New York, NY

Open Date

Nov 04, 2022


We seek to fill a postdoctoral position at NYU Courant and CDS, as part of M2LInES (Multiscale Machine Learning In Coupled Earth System Modeling). This is an international effort to further our understanding of the climate system and improve climate models with scientific machine learning by reducing biases at the air-sea interface. M2LInES includes climate scientists, numerical modelers, and machine learning experts at NYU, Princeton, Columbia, MIT, Lamont, GFDL, NCAR, IPSL, IGE.

The postdoctoral associate will focus on improving our understanding of ocean processes which influence global climate, in particular patterns of sea surface temperatures and heat uptake. The project will focus on using methods such as equation discovery to learn new physics and develop subgrid parameterizations of ocean processes (e.g., Zanna & Bolton, 2020; or Ross et al., 2022) to ensure interpretability, and easy implementation in global models. The postdoctoral researcher will work under the supervision of Prof Laure Zanna and is expected to collaborate with other members of M2LInES.

Further information about equation-discovery for physics is discussed in a recent Quanta article, details about machine learning for multiscale ocean processes are outlined in a SIAM news article, and a description of M2LInES’ goals and members can be found on our website.

The position, available immediately, is a full-time appointment, initially for one year, with the possibility of renewal for up to three years, subject to satisfactory performance and available funding.


In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $58.500 - $90,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.


  • Completion of a PhD in Atmospheric, Oceanic or Climate sciences, Physics, Applied Mathematics, Physics, Engineering, or a related field at the time of the appointment;

  • Strong background in either fluid dynamics, ocean, atmospheric or climate physics or related field;

  • Excellent programming skills;

  • Candidates should have a record of relevant publications in the peer-reviewed scientific literature appropriate to their career stage, and demonstrated effective written and verbal communication skills;

Desirable skills

  • Experience in analysis of large datasets

  • Experience, or demonstrated interest, in machine learning

Application Instructions

For full consideration, applicants should submit the following by 12/02/2022:

  • 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 current positions, career plans, and available start date,

  • 3 letters of recommendation


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