We are looking for two postdocs or research associates to join our team at NYU, led by Prof Laure Zanna, and work at the interface between climate science and machine learning.
The successful applicants will perform research as part of the new multi-institution international project, M²LInES https://m2lines.github.io, supported by Schmidt Futures which aims to further our understanding of climate processes and to reduce climate model biases at the air-sea/ice interface, using scientific machine learning.
The main topic of research is to develop machine-learned models for ocean processes from outputs of high-resolution climate simulations and data-assimilation products. The scientific goal is to deepen our understanding of ocean mesoscale momentum, buoyancy and energy transport, in particular at the air-sea interface and to develop new mesoscale parameterizations for use in existing global climate models. For examples of our work in this area, see https://tinyurl.com/6wcjxxfe; https://tinyurl.com/yckwscu4; https://tinyurl.com/3cu4c4pd.
The successful applicants will join the M²LInES NYU team, currently composed of professors Joan Bruna, Carlos Fernandez-Granda and Laure Zanna, as well as multiple postdoctoral researchers, and graduate students. The successful applicants are expected to actively collaborate across the entire M²LInES project. They will have the opportunity to lead research in an exciting new area and can take advantage of the unique intellectual opportunities afforded by NYU, and will have experience in working with researchers across different fields.
The positions will be for one year initially, with the possibility of renewal for up to 3 years, based on performance and availability of funding. The positions are available immediately.
