Categories: FAANG

Applications Now Open for $60,000 NVIDIA Graduate Fellowship Awards

Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems.

To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 24th year running, is now accepting applications worldwide.

It focuses on supporting students working in AI, machine learning, autonomous vehicles, computer graphics, robotics, healthcare, high-performance computing and related fields. Awards are up to $60,000 per student.

Since its start in 2002, the Graduate Fellowship Program has awarded 200 grants worth more than $6.5 million.

Students must have completed at least their first year of Ph.D.-level studies at the time of application.

The application deadline for the 2025-2026 academic year is Friday, Sept. 13, 2024. An in-person internship at an NVIDIA research office preceding the fellowship year is mandatory; eligible candidates must be available for the internship in summer 2025.

For more on eligibility and how to apply, visit the program website.

AI Generated Robotic Content

Recent Posts

3 Nuclear Startups Hit a Big Milestone. Why It Matters—and Why It Doesn’t

The companies’ Fourth of July plans include celebrating new reactor designs coming online. But there’s…

20 hours ago

Context vs. Memory Engineering in Agentic AI Systems

Compression on Arrival Tool outputs should be compressed after a call returns, not after the…

2 days ago

Why I disappeared for 3 Months & What’s Next

I’ve been quiet since November because I’ve been building.Over the past few months, AI has…

2 days ago

Multi-Agent Teams Hold Experts Back

Multi-agent LLM systems are increasingly deployed as autonomous collaborators, where agents interact freely rather than…

2 days ago

Managing Elasticsearch Reindex at Scale: Performance, Reliability, and Observability

Editor’s Note: This is the fourth post in a series exploring how Palantir customizes infrastructure…

2 days ago

GenPage: Towards End-to-End Generative Homepage Construction at Netflix

Authors: Lequn Wang, Jiangwei Pan, and Linas BaltrunasFigure 1. Autoregressive homepage generation. GenPage builds a…

2 days ago