NVIDIA Opens Applications for 2027–2028 Graduate Fellowships With Awards Up to $60,000
Sharon Gibbons
The Skyward angle
The NVIDIA Graduate Fellowship Program is now accepting applications for its 2027-2028 cycle, offering financial support of up to $60,000 for doctoral students engaged in innovative research related to AI and advanced technologies. This initiative not only provides essential funding but also mentorship and technical resources, which can significantly enhance the academic and professional prospects of students in Africa. With a focus on fields such as healthcare and robotics, the program presents an important opportunity for learners and educators to advance their skills and contribute to the global tech landscape.
Originally published by NVIDIA AI BlogBringing 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 26th year, 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 over 220 grants worth around $8 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 2027-2028 academic year is October 30, 2026. 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 2027.
For more on eligibility and how to apply, visit the program website.
Featured image shows last year’s NVIDIA Graduate Fellowship recipients.
Originally published on NVIDIA AI Blog. Curated with an original summary for the Skyward blog.