PhD Research Intern, AI for Climate and Weather Simulation

Quick Facts

• Role: PhD Research Intern, AI for Climate and Weather Simulation

Description

You’ll help advance AI techniques for Earth system simulation and analytics by proposing, researching, prototyping, and testing innovative ideas. The work includes topics such as generative data assimilation, hybrid climate simulation, full model emulation, regional-to-global high-resolution AI autoregressive weather prediction, and dynamical downscaling. You’ll collaborate with researchers and engineers, contribute to research publications, and leverage NVIDIA GPUs at scale for cutting-edge experiments.

Requirements

• Enrolled in at least the 2nd year of a PhD in geophysical sciences, computer science, applied math/statistics, or related fields
• Strong research portfolio with at least one first-author publication that uses AI
• Proficiency or demonstrated ability to quickly absorb distributed deep learning training frameworks (e.g., PyTorch)
• Strong software engineering skills, including PyTorch and PyTorch-lightning, plus shell scripting and software environment management
• Ability to perform high-performance parallel GPU computing
• Excellent communication skills

Benefits

• Eligibility for intern benefits
• Internship hourly rate: $38–$94 per hour (based on position, location, year in school, degree, and experience)