Postdoctoral researcher in AI for Climate - Surrogate Multiscale Modeling (NYU Courant Institute School)

Updated: 10 days ago
Location: New York City, NEW YORK

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Posted: 27-Mar-26

Location: New York, New York

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Academic/Faculty

Internal Number: 183889


We are seeking a full-time Postdoctoral Researcher to join our team in building next-generation Foundation Models for Earth System Modeling at NYU Courant Institute School of Mathematics, Computing, and Data Science.  In collaboration with Profs Carlos Fernandez-Granda, Joan Bruna, Laure Zanna,  the successful candidate will focus on developing methods to capture and understand generalization in AI emulators, in particular for unseen regimes, including rare events.  

The postdoc will be expected to lead independent research directions while collaborating with a team comprising domain scientists, experts in climate physics and modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) .

You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen et al. 2025 , Perezhogin et al. 2025

The position, available immediately, is a full-time appointment, initially for one year, with the possibility of renewal for 2 years, subject to satisfactory performance and available funding. 

 

In compliance with NYU's Pay Transparency Act, the annual base salary range for this position is $62,500 - $94,000. NYU considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer quality, as well as market and organization considerations.

Qualifications:  

 

  • Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline.

  • Experience: 

    • Expertise in developing and training AI models

    • Proficiency in Python 

    • Experience with HPC (GPUs preferred)

  • Related Skills and Other Requirements 

    • Ability to work at the interface of AI and science/engineering problems

    • Ability to lead, develop, and contribute to multiple projects in a fast-paced environment; 

    • Ability to work independently and collaboratively as part of an interdisciplinary team;   

    • Outstanding written and oral communication skills

    • Technical and scientific curiosity 

    • A solid record of relevant publications and software appropriate to their career stage

For full consideration, applicants should submit via Interfolio, the following by April 20th (Earlier applications are strongly encouraged):

  • a cover letter (no more than 2 pages) detailing 1) their research experience, 2) future research plans and how they would fit our  project, and 3) available start date, 

  • a Curriculum Vitae (no more than 2 pages) 

  • A list of publications and software repositories 

  • 3 confidential letters of recommendation.  

Applications are reviewed only if you have fulfilled the requirements above, and submitted to Interfolio. 

 

For additional information, please contact m2lines@nyu.edu.  

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

Sustainability Statement 

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability


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