Carlos Fernandez-Granda
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Simons Center Postdoctoral Fellows in Computational Climate at NYU New York University in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral appointment with an annual base salary range of 62,500–125,000 USD; initially one year with possibility of renewal for two additional years subject to satisfactory performance and available funding.
Deadline
Dec 1, 2026
Country
Germany
University
New York University
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Keywords
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About this position
The Simons Center for Computational Geophysical Flows at the Courant Institute School of Mathematics, Computing, and Data Science, New York University, is a new research and training hub focused on next-generation computational methods for problems in ocean, atmosphere, and ice dynamics.
The advertised postdoctoral fellowships are designed for researchers who want to pursue deep, impactful work in computational climate and geophysical flows while contributing to the growth of the center and to broader Earth and Planetary Sciences at NYU. Fellows are expected to develop research that advances both methods and applications, with emphasis on multiscale interactions, geophysical and boundary-layer turbulence, coupled atmosphere-ocean-ice systems, and the physics of rare events and climate risks such as extreme precipitation, flooding, and marine heatwaves.
The role sits within an interdisciplinary environment connected to NYU’s expanding Global Science and Tech initiative and the launch of the Earth Systems Institute. Fellows will be mentored by one or more core faculty members at the center and are expected to lead independent research while collaborating across the broader NYU research community.
The listed core faculty are Carlos Fernandez-Granda, Sara Shamekh, Jonathan Weare, Laure Zanna, and Yi Zhang.
Funding details
Full-time postdoctoral appointment with an annual base salary range of 62,500–125,000 USD; initially one year with possibility of renewal for two additional years subject to satisfactory performance and available funding.
What's required
Applicants must hold a Ph.D. in machine learning, computer science, engineering, physical science, applied mathematics, atmosphere/ocean science, or a related technical discipline. Required experience includes expertise in computational science, proficiency in Python, and experience with high-performance computing, with GPUs preferred. Candidates should be able to work at the interface of AI and physics-based science/engineering problems, lead and contribute to multiple projects in a fast-paced environment, work independently and collaboratively in an interdisciplinary team, communicate well in writing and speaking, show strong technical and scientific curiosity, and have a solid record of relevant publications and software development appropriate to career stage.
How to apply
Prepare a cover letter, research statement, CV, list of publications and software repositories, and arrange three recommendation letters. Submit the application via Interfolio using the provided application link by December 1, 2026.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor at New York University
Germany
Research Interests
Statistics
Computer Science
Ice Mechanics
Extreme Events
Atmospheric Dynamics
Professor at New York University
Germany
Research Interests
Statistics
Applied Mathematic
Physics
Computer Science
Climate Risk
Professor at New York University
Germany
Research Interests
Statistics
Geophysical Fluid Dynamics
Mathematics
Environmental Science
Earth Science
Professor at New York University
Germany
Research Interests
Statistics
Atmospheric Dynamics
Computational Science
Climate Risk
Ice Mechanics
Professor at New York University
Germany
Research Interests
Statistics
Applied Mathematic
Extreme Events
Computer Science
Climate Risk
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.