PhD Climate AI Research Intern - Scalable Simulations

NVIDIA Corporation; Santa Clara (CA); In loco; USD 52.000 - 129.000; Tempo pieno

Vantaggi offerti da questo lavoro

Intern benefits

Descrizione del lavoro

NVIDIA invites research interns with strong AI foundations to re-imagine Earth System Simulation and Analytics stack effects. You will work on cutting-edge topics like generative data assimilation, climate modeling with AI, and regional-to-global downscaling, with mentorship and cross-team collaboration.

We seek candidates with a proven AI-focused research track record and strong software engineering, including PyTorch and GPU parallel computing.

Competenze

• Currently enrolled in at least the 2nd year of a Ph.D. in geophysical sciences, computer science, applied math/statistics, or related fields.
• Strong research portfolio including one first-author publication that makes good use of AI.
• Proficiency with distributed deep learning training frameworks (e.g., PyTorch).
• Strong software engineering skills including PyTorch, PyTorch Lightning, shell scripting and environment management.

Mansioni

• Propose, research, prototype and test innovative research ideas.
• Publish groundbreaking work at top conferences and journals.
• Collaborate with team members, interns, product teams and external researchers.
• Contribute to technology transfer as ideas graduate from research to product.
• Utilize NVIDIA GPUs at scale for AI and climate science research.

Conoscenze

Deep learning frameworks

Research portfolio

Software engineering

Communication skills

Formazione

Ph.D. in geophysical sciences

Ph.D. in computer science

Applied math/statistics

Related fields

Strumenti

PyTorch

PyTorch Lightning

Shell scripting

High performance GPU computing

Descrizione del lavoro

NVIDIA invites research interns with strong AI foundations to re-imagine Earth System Simulation and Analytics stack effects. You will work on cutting-edge topics like generative data assimilation, climate modeling with AI, and regional-to-global downscaling, with mentorship and cross-team collaboration.

We seek candidates with a proven AI-focused research track record and strong software engineering, including PyTorch and GPU parallel computing.