Postdoctoral researchers in Climate Physics and Machine Learning at NYU

New York University is seeking a postdoctoral researcher in Climate Physics and Machine Learning at the Courant Institute and the Center for Data Science. The role involves improving climate predictions using machine learning for multiscale multiphysics models. Candidates should have a PhD in a relevant field and strong programming skills. The position is full-time, starting immediately, with a salary range of $62,500 - $94,000. This is not a remote position.
New York University: NYU - NY: Courant Institute of Mathematical Sciences: NYU Courant Math and NYU Center for Data Science

Location

New York, New York

Open Date

Jul 10, 2023

Description

The Center for Data Science (CDS) and the Courant Institute at New York University (NYU) seek a highly motivated postdoctoral fellow to join our team working on foundational models for multiscale multiphysics for climate models, as part of the international project, M2LInES https://m2lines.github.io. The scientific goal of this project is to improve climate predictions by reducing climate model errors at the air-sea/ice interface using machine learning (ML).

The successful candidate will work with Profs Sara Shamekh and Laure Zanna, and with a team of interdisciplinary researchers to develop and implement ML for climate phenomena that span multiple scales and physics, in particular non-local boundary layer turbulence.

The position, available immediately, is a full-time appointment, initially for one year, with the possibility of renewal for up to 3 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
• Completion of a PhD in physics, mathematics, computer science, engineering, statistics, or a related field at the time of the appointment;
• Strong programming experience;
• Strong interest in the application of machine learning to science and engineering problems;
• A record of relevant publications in the peer-reviewed scientific literature appropriate to their career stage;
• Ability to work independently and as part of an interdisciplinary team.
• Ability to work in a fast pace environment

Application Instructions

For full consideration, applicants should submit via Interfolio, the following by August 13th 2023:
• 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 project, career plans, and available start date,
• 3 letters of recommendation.

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