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role of land–atmosphere interactions in S2S predictability; impacts on boundary layer processes, aerosol-cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms
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include: Conducting high-resolution model simulations of convective storms Contributing to model development using AI/ML approaches in areas such as clouds, turbulence, land–atmosphere interactions, and
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research prototypes to real-world deployment environments, including cloud, secure enclaves, trusted research environments, and leadership computing platforms. Candidates should be comfortable working in a
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or cloud environments. Experience with complex scientific datasets and reproducible analysis or simulation workflows. Effective written and oral communications skills. Demonstrated ability to work both
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, or network-based modeling of infrastructure or industrial systems. Familiarity with high-performance computing, cloud computing, or parallel computing environments for training models and solving optimization