Postdoctoral Positions in Machine Learning and Atmospheric Science

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A number of postdoctoral positions are available through a project funded by NSF’s Cyberinfrastructure for Sustained Scientific Inquiry (CSSI) program. This highly collaborative project between four institutions will develop data-driven parameterizations of atmospheric gravity waves and explore their impact on climate variability and change. The project will involve novel balloon-based observations, high-resolution atmospheric model simulations, machine learning, and atmospheric modeling.

Candidates should have a Ph.D. in atmospheric science, applied mathematics, or a related field at the time of appointment. The successful candidates will have demonstrated the ability to carry out creative, innovative, independent research, and to publish in the peer-reviewed literature. The initial appointment is expected to be for one year, with the possibility of renewal for subsequent years depending on performance. Positions are available at the following institutes. Please contact the PIs directly to apply, letting us know your preference if you apply to multiple institutes. Please use the subject line “postdoc application” in your email, and include a detailed CV and a list of references in your application.

Applications received by October 1 will be guaranteed full consideration, but we will continue to accept applications until all positions are filled. The start date may be negotiable, particularly in light of the evolving COVID-19 situation.

NWRA, NYU, Rice University, and Stanford University are equal opportunity employers and are committed to increasing the diversity of their staff. They welcome applications from women, members of minority groups, protected veterans, and individuals with disabilities, as well as from others who would bring additional dimensions to the university’s research, teaching and clinical missions.