NVIDIA's $60,000 fellowship for Ph.D. students
NVIDIA just opened applications for its 24th Graduate Fellowship Program, offering Ph.D. researchers in AI, robotics, and computing up to $60,000 in funding alongside mentorship. Applicants must have completed at least their first year of doctoral studies and be available for an in-person internship in summer 2025. The deadline is Sept. 13, 2024.

NVIDIA is now accepting applications for its 24th annual Graduate Fellowship Program, offering up to $60,000 in funding per doctoral student.
The grant focuses on Ph.D. candidates doing research tied to NVIDIA technologies, spanning AI, machine learning, autonomous vehicles, computer graphics, robotics, healthcare, and high-performance computing. Alongside the funding, fellows receive dedicated technical support and mentorship from company researchers.
The fine print: a mandatory summer internship
Since its launch in 2002, the program has awarded 200 grants totaling more than $6.5 million.
Eligibility comes with strict parameters. Applicants must have completed at least their first year of doctoral studies at the time of submission.
Crucially, candidates must also commit to an in-person internship at an NVIDIA research office in the summer of 2025 before the fellowship year kicks off. The application window for the 2025-2026 academic year closes on Friday, Sept. 13, 2024.
Why it matters
For Ph.D. researchers working on accelerated computing, this is one of the premier industry grants available. Beyond the $60,000 financial support, the biggest draw is direct access to NVIDIA internal mentors, proprietary tools, and a secured foot in the door at a top-tier research lab.
For NVIDIA, the program serves as a high-yield talent pipeline. By tying financial awards directly to a mandatory in-person summer internship, the company effectively channels top academic minds and cutting-edge university breakthroughs straight into its own engineering ecosystem before anyone else can hire them.
Sources (1)
- blogs.nvidia.com(opens in a new tab)Originalblogs.nvidia.com