Skip to main content
Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Postdoctoral researcher in AI for Science in M²LInES - NYU

EGU logo

European Geosciences Union

www.egu.eu

Postdoctoral researcher in AI for Science in M²LInES - NYU

Position
Postdoctoral researcher in AI for Science in M²LInES - NYU

Employer

New York University


Location
New York, United States of America

Sector
Academic

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

Type
Full time

Level
Entry level

Salary
$62,500 - $94,000

Required education
PhD

Application deadline
19 June 2025

Posted
20 May 2025

Job 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;


How to apply

For full consideration, applicants should submit via Interfolio at http://apply.interfolio.com/167915, 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.