[ES_JOBS_NET] Postdoctoral Research Position: AI, Cloud Microphysics, and Cloud Seeding

[Kara D Lamb]

Dear ESWN,

We are seeking a postdoctoral researcher to develop AI-enabled approaches
for evaluating and optimizing cloud seeding, including whether it could
alter precipitation and conditions associated with wildfire risk in the
Western United States. The researcher will conduct aerosol-perturbation
experiments in three-dimensional large-eddy simulations and develop
machine-learning approaches—including generative optimization,
reinforcement learning, and reduced-order modeling—to identify effective
seeding strategies.

Applicants should have experience in atmospheric science, cloud
microphysics, numerical modeling, machine learning, or a closely related
field. Experience with large-eddy simulations, particle- or bin-based
microphysics, Python, and high-performance computing is particularly
desirable. The position offers opportunities to contribute to
interdisciplinary research at the intersection of atmospheric modeling,
scientific machine learning, precipitation formation, and weather
modification. The postdoctoral researcher will be based at Columbia
University in the Dept. of Earth and Environmental Engineering and will be
co-advised by Dr. Kara Lamb and Prof. Pierre Gentine.

To apply or request additional information, please send a CV and cover
letter to kl3231 at columbia.edu.

-- 
Dr. Kara D. Lamb
Associate Research Scientist, Department of Earth and Environmental
Engineering
Adjunct Assistant Professor, Climate School
Columbia University
https://kdlamb.github.io
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