About The Position
NVIDIA is seeking a PhD research intern to apply modern AI methods to Earth system simulation and analytics. Research areas may include generative data assimilation, hybrid climate simulation, emulation of climate-model components, high-resolution AI-based autoregressive weather prediction, and dynamical downscaling. The role welcomes candidates with strong computer science skills and knowledge of physical sciences, as well as domain scientists with strong technical skills. The intern will work collaboratively with an interdisciplinary research group on impactful problems in climate science and artificial intelligence. The team publishes at leading climate science and AI venues and works toward impact on NVIDIA products and academic and government climate prediction. The intern will have access to NVIDIA GPUs for research and will be mentored while collaborating with research colleagues, product teams, and external researchers. The internship hourly rate is USD 38–94, and the intern is eligible for intern benefits.
Requirements
- Be currently enrolled in at least the second year of a PhD program in geophysical sciences, computer science, applied mathematics/statistics, or a related field.
- Have a strong research portfolio, including at least one first-author publication that makes good use of AI.
- Demonstrate proficiency or the ability to quickly learn distributed deep learning training frameworks such as PyTorch.
- Have strong software engineering skills, including experience with PyTorch, PyTorch Lightning, shell scripting, software environment management, and high-performance parallel GPU computing.
- Have excellent communication skills.
Nice To Haves
- Experience scaling algorithms for high computational loads.
- Experience developing in a changing software environment and driving research projects end-to-end.
- Expertise in climate domain science or nonlinear physics, or deep familiarity with related synthetic and/or observational datasets or physical simulation systems.
Responsibilities
- Propose, research, prototype, and test innovative research ideas.
- Publish research at leading conferences and journals.
- Collaborate with research team members, fellow interns, internal product teams, and external researchers, and receive mentorship.
- Contribute to technology transfer with NVIDIA engineers as research ideas move toward products.
- Use NVIDIA GPUs at scale for research at the intersection of AI and climate science.
Benefits
- Eligible for intern benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
