NYU Courant

Homepage: https://caos.cims.nyu.edu/dynamic/

The Courant Institute of Mathematical Sciences at New York University (NYU) is seeking expressions of interest from postdoctoral researchers to work with Prof. Sara Shamekh at the intersection of machine learning, atmospheric processes, and climate modeling. This position is funded by the Department of Energy (DOE) through the UNSHADE project, aimed at advancing our understanding of shallow clouds and their transition to deep convection, with the ultimate goal of improving their representation in climate models.

The successful candidate will leverage cutting-edge machine learning techniques to analyze observational data, addressing key questions around shallow cloud formation and the role of the atmospheric boundary layer. This work will involve developing models that illuminate the processes driving shallow cloud formation, growth, and transitions to deep convection.
Applications received by December 15, 2024, will receive full consideration and should be submitted through https://apply.interfolio.com/158851.

Please submit your application through https://apply.interfolio.com/158851