PhD Research Intern, AI for Climate and Weather Simulation - 2027

What you'll do

• Propose, research, prototype, and test innovative research ideas; publish work at conferences and journals.
• Collaborate with research colleagues, product teams, and external researchers.
• Support technology transfer from research to products and conduct research using NVIDIA GPUs at scale.

What they ask for

• Currently enrolled in at least the second year of a Ph.D. in geophysical sciences, computer science, applied math/statistics, or a related field.
• Strong research portfolio, including one first-author publication that makes good use of AI.
• Proficiency in, or demonstrable ability to quickly learn, distributed deep learning training frameworks.
• Strong software engineering skills, including PyTorch, PyTorch-lightning, shell scripting, software environment management, and high-performance parallel GPU computing.

Nice to have

• Experience scaling algorithms for high computational loads or developing in a changing software environment and driving research projects end-to-end.
• Expertise in climate science, nonlinear physics, or related datasets and physical simulation systems.

Pay

38 USD - 94 USD per hour (hourly rate)

Tools

PyTorch, PyTorch-lightning, shell scripting, software environment management, high performance parallel GPU computing, NVIDIA GPUs

AI focus

Research and apply AI to climate and weather simulation, including generative data assimilation, hybrid climate simulation, climate-model component emulation, AI autoregressive weather prediction, and dynamical downscaling.