Post-Doctoral Researcher
Core
Develop reduced but realistic models of cumulus life cycles to aid cumulus parameterization and machine-learning algorithms for predicting short-term convective hazards.
Role type
Post-doctoral researcher (atmospheric science)
Builds
Reduced physical models of cumulus life cycles and machine-learning algorithms
Domain
Atmospheric science, meteorology, cloud physics
Deliverable
production ML models | research
Required skills
Large-eddy simulations, cloud microphysical processes, turbulent processes, scientific visualization (Python, Matlab), cumulus convection study
Preferred skills
None stated
Technologies
Python, Matlab
Responsibilities
Build quantitative conceptual understanding of factors controlling cumulus life cycles using simulations and observations; Develop and evaluate new physical models for cumulus life cycles; Publish results in high-impact peer-reviewed journals
Seniority
Post-doctoral researcher