The NVIDIA Graduate Program supports outstanding PhD students conducting research that could shape the future of accelerated computing and emerging technologies.
For more than two decades, NVIDIA has invested in university talent by providing financial support, industry collaboration opportunities, and access to advanced technologies for researchers working on innovative solutions in artificial intelligence, robotics, autonomous systems, and related fields.
The programme identifies talented doctoral students with strong academic achievements, research potential, and the ambition to contribute to major technological advancements.
About the NVIDIA Graduate Fellowship Program
The NVIDIA Graduate Fellowship Program is designed to support PhD students whose research focuses on areas that can drive breakthroughs in accelerated computing and its applications.
Selected fellows receive financial support to continue their academic research while gaining opportunities to connect with NVIDIA researchers, engineers, and industry experts.
The programme represents NVIDIA’s commitment to strengthening collaboration between academia and industry while supporting the next generation of technology leaders.
Fellowship Benefits
Successful NVIDIA Graduate Fellowship recipients may receive:
- Funding of up to $60,000 per award
- Support for research-related expenses
- Access to NVIDIA products and technology
- Opportunities to interact with NVIDIA researchers and engineers
- Exposure to cutting-edge computing innovations
- Industry connections with future career opportunities
The fellowship funding is intended to support student research expenses, including:
- Stipend
- Tuition
- Mandatory academic fees
Research Areas Supported
NVIDIA particularly welcomes research submissions in areas including:
Artificial Intelligence
Research advancing machine learning, deep learning, generative AI, and intelligent systems.
Robotics
Projects focused on robotic systems, automation, perception, and intelligent decision-making.
Autonomous Vehicles
Research contributing to safer and more advanced autonomous transportation technologies.
Accelerated Computing
Projects exploring high-performance computing and new applications of GPU technologies.
Additional related research fields connected to advanced computing may also be considered.
Who Can Apply?
The NVIDIA Graduate Fellowship Program is designed for PhD students conducting innovative research.
Applicants are generally expected to demonstrate:
- Strong academic achievements
- Research excellence
- Professor nomination
- Work aligned with accelerated computing and related technologies
- Potential to contribute to future technological advancements
International PhD students may also be eligible according to the programme requirements.
Fellowship Selection Criteria
Recipients are selected based on factors including:
- Academic achievements
- Research quality and potential impact
- Professor nomination
- Alignment with NVIDIA research priorities
- Innovation and technical contribution
NVIDIA looks for students who demonstrate talent, initiative, and the ability to conduct groundbreaking research.
Internship Requirement
An important component of the NVIDIA Graduate Fellowship includes a mandatory in-person summer internship before the fellowship year begins.
This provides selected students with an opportunity to:
- Work directly with NVIDIA teams
- Gain industry experience
- Collaborate with technology experts
- Apply research skills in real-world environments
How the NVIDIA Fellowship Supports Innovation
NVIDIA works with researchers and industry partners to address complex computing challenges across multiple sectors, including:
- Healthcare and medicine
- Space exploration
- Automotive technology
- Scientific research
- Digital media and entertainment
Through the fellowship programme, NVIDIA helps researchers access the resources needed to develop solutions that can influence future technologies.
Application Process
Applicants typically follow these steps:
Step 1: Prepare Research Proposal
Students submit details about their research project and its potential contribution to technology advancement.
Step 2: Receive Professor Nomination
Applicants require nomination from their academic supervisor or professor.
Step 3: Submit Application Materials
Candidates provide required academic and research information for evaluation.
Step 4: Fellowship Selection
NVIDIA reviews applications based on academic excellence, research impact, and alignment with programme goals.
Important Fellowship Conditions
Selected fellows should note:
- Awards are provided through universities rather than directly to students.
- Funding must be used to support research.
- Awards cannot exceed eligible research-related costs.
- Selected recipients must complete an NVIDIA internship before the fellowship year begins.
- NVIDIA employees and immediate family members are not eligible.
Why Consider the NVIDIA Graduate Fellowship?
The NVIDIA Graduate Fellowship offers more than financial support. It provides doctoral researchers with an opportunity to connect academic innovation with real-world technology development.
For PhD students working in AI, computing, robotics, and advanced technology fields, the programme provides valuable support to accelerate research and build relationships with one of the world’s leading technology companies.
Summary Table
| Category | Details |
|---|---|
| Organisation | NVIDIA |
| Opportunity Type | Graduate Fellowship |
| Target Applicants | PhD students |
| Funding Amount | Up to $60,000 per award |
| Research Areas | AI, robotics, accelerated computing, autonomous vehicles, related fields |
| Benefits | Research funding, technology access, industry connections |
| Selection Basis | Academic achievement, research impact, professor nomination |
| Internship | Mandatory NVIDIA summer internship before fellowship year |
Conclusion
The NVIDIA Graduate Fellowship Program Welcomes the Next Generation of AI Talent by supporting doctoral researchers developing innovative solutions in artificial intelligence, accelerated computing, robotics, and emerging technologies.
With significant research funding, industry exposure, and collaboration opportunities, the fellowship helps talented PhD students advance discoveries that could shape the future of technology.
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