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NVIDIA Opens 2027–2028 Graduate Fellowship Applications With Awards Up to $60,000

NVIDIA has opened applications for its 2027–2028 Graduate Fellowship Program, aimed at doctoral students doing research relevant to NVIDIA technologies. Fellows receive grants, mentorship and technical support, with individual awards reaching up to $60,000.

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NVIDIA 开放 2027–2028 年度研究生奖学金申请,单人奖金最高 6 万美元
Image source: blogs.nvidia.com

NVIDIA opened applications for its 2027–2028 Graduate Fellowship Program in a blog post published on 30 September, inviting doctoral students whose research relates to NVIDIA's accelerated computing technologies.

The program is designed to support outstanding PhD researchers with grants, mentors and technical support, with individual awards reaching as high as $60,000.

In the announcement, NVIDIA argues that bringing together the world's brightest minds and the latest accelerated computing technology is what produces breakthroughs on the hardest research problems, and says the fellowship exists to foster that kind of innovation.

The fellowship is now in its 26th edition. A run that long makes it one of the more established industry–academic talent pipelines in computing rather than a one-off marketing exercise.

Because eligibility is tied to research that is relevant to NVIDIA technologies, the review naturally gravitates toward work closest to the company's own platforms.

For NVIDIA, this is not only a scholarship: it is a way to meet and lock in accelerated-computing and AI research talent well before graduation.

For prospective applicants, the practical questions are how reviewers weigh academic merit against relevance to the company's stack, and how many fellowships will be funded this cycle.

What to watch next are the application deadline and the eventual list of fellows, which usually offers an early view of the research directions NVIDIA wants to cultivate.

Why it matters

The fellowship bundles funding, mentorship and technical support for PhD students, reinforcing NVIDIA's ties to academic research and giving it early access to talent in accelerated computing and AI. Researchers should note both the size of the award and the requirement that their work connect to NVIDIA's technologies.

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