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Postdoc in aerosol-cloud interactions and global high-resolution atmospheric modeling

Princeton University
Princeton, New Jersey
Closing date
Oct 31, 2021

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Atmospheric Sciences
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Job Details

The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks to fill one postdoctoral or more senior research position in the area of aerosol-cloud interactions and global high-resolution atmospheric modeling. The recently developed GFDL climate models (CM4 and ESM4) are among the best-performing CMIP6 models in terms of mean climate and variability. They use the same FV3 dynamical core as the current NOAA/NWS weather forecast model. CM4 also forms the basis of a prediction model (SPEAR) and can be configured into a limited-domain cloud-resolving model (CRM) for process-level studies. Work is underway to conduct global cloud-resolving simulations by enhancing model resolutions. The incumbent is expected to use these modeling tools, along with observations and theories, to better understand the controlling factors of the magnitude and spatiotemporal distribution of model-simulated aerosol indirect effects.

The ideal candidates have to demonstrate a strong background in atmospheric and climate modeling, and climate science, as well as experience in using, developing, and analyzing numerical models and/or large observational datasets.

Candidates must have a Ph.D. in atmospheric physics, dynamic meteorology, Earth system science, climate studies, or related fields. The initial appointment is for one year with the possibility of renewal subject to satisfactory performance and available funding.

Complete applications, including a cover letter, CV, publication list, a statement of research interests, and contact information of 3 references should be submitted by October 31, 2021 11:59 EST for full consideration. Applicants should apply online at  For more information about the research project and application process, please contact Yi Ming (

This position is subject to Princeton University’s background check policy.

Princeton University is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.


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