Postdoctoral researcher in AI for Science in M²LInES

New York, New York

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Description

 

M2LInES is seeking a full-time Postdoctoral Researcher to join our team in building next-generation Foundation Models for Science at NYU Courant and the Center for Data Science (CDS).  You will join a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2LInES https://m2lines.github.io. The successful candidate will contribute to building an AI multi-modal, multi-scale foundation model for the ocean and atmosphere to accelerate scientific breakthroughs, in collaboration with Profs Carlos Fernandez-Granda, Joan Bruna, Laure Zanna. 

You can read about some of our recent work here: Dheeshjith et al. 2024, Pedersen et al. 2025, Crozier et al. 2025, Chapman 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, science or related technical discipline.
  • Experience: 

    • Expertise in developing and training AI models (e.g., CNNs, diffusion models, etc) 

    • Proficiency in Python 

    • Experience with HPC (CPU or GPU, with GPUs preferred)

  • Related Skills and Other Requirements 

    • Ability to collaborate on the application of AI to science and engineering problems

    • Ability to lead, develop and contribute to multiple projects 

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

    • Effective written and oral communication skills

    • Technical and scientific curiosity 

    • Ability to work in a fast-paced environment; 

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

Application Instructions

For full consideration, applicants should submit via Interfolio, the following by June 19th (Earlier applications are strongly encouraged):

  • a cover letter (no more than 2 pages) detailing 1) their research experience, 2) future research plans and 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.

Equal Employment Opportunity Statement

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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Tags: Computer Science Diffusion models Engineering GitHub GPU HPC Machine Learning Physics Privacy Python Research

Perks/benefits: Transparency

Region: North America
Country: United States

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