The Courant Institute at New York University (NYU) is seeking expression of interest from a highly motivated Postdoctoral Associate to join our team working on improving the representation of sub-grid scale physics for climate models. This effort is part of the Learning Earth with Artificial Intelligence and Physics (LEAP), an NSF-funded Science and Technology Center. The scientific goal of this project is to enhance climate projections by reducing errors in climate models, specifically those rooted in the representation of the atmospheric boundary layer, using machine learning (ML).Working directly with Professor Sara Shamekh (NYU), the successful candidate will also collaborate with Pierre Gentine (Columbia University) and with a team of interdisciplinary researchers, to develo