The NVIDIA AI Research Fellowship 2027 invites exceptional PhD students worldwide to submit innovative research projects for consideration. Designed for students pushing the boundaries in artificial intelligence, robotics, autonomous vehicles, and accelerated computing, this prestigious fellowship provides both funding and unparalleled access to NVIDIA’s cutting-edge technology and expert mentorship.
With up to $60,000 in funding, recipients can advance their research while contributing to the global AI and high-performance computing community. The fellowship also includes a mandatory in-person summer internship at NVIDIA prior to the fellowship year, providing students with hands-on exposure to industry-leading GPU and AI systems.
This program is ideal for doctoral researchers seeking to accelerate their careers while making meaningful contributions to AI, robotics, and computational science.
About NVIDIA
NVIDIA is a global leader in high-performance computing, artificial intelligence, and GPU-accelerated technology. NVIDIA’s innovations power applications across:
- AI and deep learning.
- Robotics and autonomous systems.
- Autonomous vehicles and transportation technology.
- Data science and high-performance computing.
- Computer graphics and simulation.
By partnering with universities through its fellowship program, NVIDIA aims to cultivate the next generation of researchers and engineers, ensuring that breakthrough technologies continue to drive global innovation.
Fellowship Overview
The NVIDIA AI Research Fellowship offers PhD students:
- Financial support for tuition, stipend, and mandatory fees (up to $60,000).
- Access to NVIDIA hardware, software, and AI technology.
- Mentorship and guidance from NVIDIA researchers and engineers.
- Networking with leading industry experts and academic collaborators.
- Opportunities to conduct research with real-world impact.
- A mandatory in-person summer internship with NVIDIA.
The fellowship is awarded based on:
- Academic achievements.
- Professor nomination.
- Relevance and innovation of the research proposal.
- Potential for impact in AI, robotics, or GPU-accelerated computing.
Areas of Research
NVIDIA encourages applications from students working in:
- Artificial Intelligence (AI): Deep learning, machine learning, neural networks.
- Robotics: Autonomous robots, human-robot interaction, intelligent systems.
- Autonomous Vehicles: Self-driving technology, computer vision, sensor fusion.
- High-Performance Computing: GPU acceleration, parallel computing, computational optimization.
- AI-Driven Applications: Healthcare AI, scientific simulation, AI for sustainability.
The fellowship supports projects with potential for substantial innovation and real-world applications.
Eligibility Criteria
Applicants must meet the following requirements:
- Enrolled in a PhD program in computer science, electrical engineering, robotics, AI, or related fields.
- Nominated by a faculty advisor or research supervisor.
- Research aligned with NVIDIA’s areas of interest (AI, robotics, autonomous systems, HPC).
- Not a full-time NVIDIA employee or immediate family member of NVIDIA employees.
- Committed to completing a mandatory in-person summer internship at NVIDIA.
International PhD students are eligible to apply.
Application Process
The fellowship application includes:
- Research Proposal Submission: A concise 2-page proposal describing your project, objectives, methodology, and potential impact.
- Professor Nomination Letter: Supporting letter from your PhD advisor highlighting your academic achievements and research potential.
- Resume/CV: Demonstrating relevant experience and accomplishments.
- Optional Internship Evaluation: Applicants can opt for internship evaluation if not selected for the fellowship.
Applications are evaluated on:
- Academic excellence and achievements.
- Innovation and significance of research.
- Alignment with NVIDIA’s technology areas.
- Applicant’s aptitude, initiative, and collaboration potential.
Fellowship Benefits
By joining the NVIDIA AI Research Fellowship, recipients gain:
- Funding support of up to $60,000 for tuition, stipend, and fees.
- Access to NVIDIA’s GPUs, software, and AI platforms.
- Opportunity to conduct high-impact research with leading experts.
- Mentorship from NVIDIA engineers and researchers.
- Networking with a global community of AI and robotics leaders.
- Hands-on experience during a mandatory summer internship.
- Recognition as a distinguished NVIDIA Graduate Fellow.
Career Opportunities
The fellowship provides a platform for future careers in:
- AI and machine learning research.
- Robotics and autonomous systems engineering.
- GPU-accelerated computing and high-performance computing.
- Academic research and professorship.
- Industry-leading AI companies.
- Technology innovation and product development.
Fellows often continue collaborations with NVIDIA, leading to industry or academic leadership opportunities.
Why Apply
The NVIDIA AI Research Fellowship 2027 is ideal for PhD students looking to:
- Advance their research in AI, robotics, or autonomous systems.
- Receive funding to focus on high-impact projects.
- Gain mentorship from world-class engineers and researchers.
- Access cutting-edge NVIDIA technology for research and experimentation.
- Participate in a summer internship that enhances industry experience.
- Join a global network of AI and computational research leaders.
This fellowship bridges the gap between academia and industry, fostering innovation and accelerating the careers of talented researchers.
Summary Table
| Program | NVIDIA AI Research Fellowship 2027 |
|---|---|
| Organization | NVIDIA |
| Fellowship Type | PhD Research Fellowship |
| Eligible Applicants | PhD students in AI, Robotics, Autonomous Systems, or HPC |
| Funding | Up to $60,000 for stipend, tuition, and mandatory fees |
| Internship | Mandatory in-person summer internship |
| Research Areas | Artificial Intelligence, Robotics, Autonomous Vehicles, High-Performance Computing |
| Location | Worldwide |
| Application Components | Research Proposal, Professor Nomination, CV, Optional Internship Evaluation |
Frequently Asked Questions
Who is eligible for the NVIDIA AI Research Fellowship?
PhD students worldwide in computer science, AI, robotics, electrical engineering, or related fields who are nominated by a faculty advisor.
How much funding is provided?
Up to $60,000 to cover tuition, stipend, and mandatory fees.
Is an internship required?
Yes, a mandatory in-person summer internship at NVIDIA is required prior to the fellowship year.
Are international students eligible?
Yes, the fellowship is open to PhD students globally.
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