NVIDIA Awards as much as $60,000 Analysis Fellowships to PhD College students

For 25 years, the NVIDIA Graduate Fellowship Program has supported graduate college students doing excellent work related to NVIDIA applied sciences. As we speak, this system introduced the most recent awards of as much as $60,000 every to 10 Ph.D. college students concerned in analysis that spans all areas of computing innovation.

Chosen from a extremely aggressive applicant pool, the awardees will take part in a summer season internship previous the fellowship 12 months. Their work places them on the forefront of accelerated computing — tackling initiatives in autonomous techniques, pc structure, pc graphics, deep studying, programming techniques, robotics and safety.

The NVIDIA Graduate Fellowship Program is open to candidates worldwide.

The 2026-2027 fellowship recipients are:

• Jiageng MaoCollege of Southern California — Fixing complicated bodily AI issues through the use of various priors from internet-scale knowledge to allow strong, generalizable intelligence for embodied brokers in the actual world.
• Liwen WuCollege of California San Diego — Enriching realism and effectivity in bodily based mostly rendering with neural supplies and neural rendering.
• Manya BansalMassachusetts Institute of Know-how — Designing programming languages for contemporary accelerators that allow builders to put in writing modular, reusable code with out sacrificing the low-level management required for peak efficiency.
• Sizhe ChenCollege of California, Berkeley — Securing AI in real-world purposes, presently securing AI brokers towards immediate injection assaults with common and sensible defenses that protect the agent’s utility.
• Yunfan JiangStanford College — Growing scalable approaches to construct generalist robots for on a regular basis duties via hybrid knowledge sources spanning real-world whole-body manipulation, large-scale simulation and internet-scale multimodal supervision.
• Yijia ShaoStanford College — Researching human-agent collaboration by creating AI brokers that may talk and coordinate with people throughout activity execution, and designing new human-agent interplay interfaces.
• Shangbin FengCollege of Washington — Advancing mannequin collaboration: a number of machine studying fashions, skilled on totally different knowledge and by totally different individuals, collaborate, compose and complement one another for an open, decentralized and collaborative AI future.
• Shwetank PrakashHarvard College — Advancing {hardware} structure and techniques design with AI brokers constructed on new algorithms, curated datasets and agent-first infrastructure.
• Irene WangGeorgia Institute of Know-how — Growing a holistic codesign framework that integrates accelerator structure, community topology and runtime scheduling to allow energy-efficient and sustainable AI coaching at scale.
• Chen GengStanford College — Modeling 4D bodily worlds with scalable data-driven algorithms and physics-inspired ideas, advancing bodily grounded 3D and 4D world fashions for robotics and scientific purposes.

We additionally acknowledge the 2026-2027 fellowship finalists:

• Zizheng GuoPeking College
• Peter HolderriethMassachusetts Institute of Know-how
• Xianghui XieMax Planck Institute for Informatics
• Alexander RootStanford College
• Daniel PalenicekTechnical College of Darmstadt