Postdoctoral researchers in Climate Physics and Machine Learning at NYU

at  New York University

New York University: NYU - NY: Courant Institute of Mathematical Sciences: NYU Courant Math and NYU Center for Data Science

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

Please refer the Job description for details