StudyDesk Scholarships
About the internship
NVIDIA Research is the company’s research arm, and the AI-Mediated Reality and Interaction (AMRI) group is the team working on how people and intelligent systems meet: embodied AI that acts in the world, interfaces between humans and AI, and models of the world in four dimensions. Interns join that group as researchers, not as trainees — the posting asks them to lead ambitious research initiatives, propose novel fundamental research, prototype and test ideas, and publish and patent the results in top-tier conferences.
The application route is unusual and worth reading carefully. There is no portal and no form. You identify the AMRI team member whose research is closest to yours, email them directly with a precise subject line, and make the case with your publications and research background. That direct-contact route is also why there is no published deadline: availability depends on the team, so the honest advice is to contact them now rather than wait for a closing date that may never be announced.
Eligibility
- Be currently enrolled in a PhD programme in a relevant technical or quantitative field, such as Computer Science, Computer Engineering, Electrical Engineering, Physics or Mathematics.
- Show an outstanding track record of academic research, especially publications at prestigious conferences on AI, computer vision and graphics — CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML and SIGGRAPH are named in the announcement.
- Have a solid theoretical and practical understanding of computer vision and artificial intelligence.
- Know distributed deep learning frameworks, especially PyTorch.
- Have outstanding Python and C++ programming skills and familiarity with CUDA for GPU processing.
- Have excellent communication skills, both written and spoken.
- Familiarity with computer graphics is a plus, not a requirement.
Research areas
- Interactive Embodied AI and Human-AI Interaction
- 4D World Modeling and World Models
- Computer Vision and Neural Rendering
- Robotics and Human Behavior Understanding
- Artificial Intelligence and Machine Learning more broadly
Benefits
- Work directly with NVIDIA scientists and engineers on research that feeds NVIDIA’s long-term priorities.
- Publish and patent your research in top-tier international conferences and journals.
- Take part in technology transfer when research advances graduate into NVIDIA products.
- Access to top-tier computational resources and a collaborative environment that values scientific rigour.
- Guidance and autonomy: the posting describes the internship as fostering independent thinking while offering mentorship.
Documents to prepare
- A CV that clearly highlights your PhD programme, research interests, publications, conference papers and research projects.
- A publication list emphasising top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, SIGGRAPH).
- A short account of your research background and why it aligns with the AMRI group’s work.
- Evidence of your programming and deep-learning skills (PyTorch, Python, C++, CUDA).
- Any research materials that showcase your expertise — the announcement asks for materials highlighting research experience and publications.
How to apply
- Read the official AMRI internship page on research.nvidia.com and pick the team member whose research interests most closely match your own.
- Prepare your CV and research materials so they demonstrate your publication record and your fit with that person’s work.
- Email the team lead or that specific team member directly, using the exact subject line “Seeking Research Internship 2027”.
- In the email, explain clearly why your research fits the AMRI group and what you would work on.
- Apply as soon as possible — there is no published deadline, and places depend on the team’s availability.
FAQs
The official NVIDIA Research page says to use the subject “Seeking Research Internship 2027”. Some aggregator sites quote “Looking for a 2027 Research Internship” instead — use the official wording, since that is what the team expects.
No. The official announcement does not specify a deadline and advises applying as soon as possible. Contact the AMRI team to confirm current availability.
The official AMRI announcement does not specify a stipend or salary amount, so this article does not quote one. Figures circulating online for other NVIDIA internship postings are not the AMRI figure — confirm compensation with the team during recruitment.
No. You email the AMRI team lead or a specific team member directly. There is no online application form for this posting.
Publications at top-tier conferences on AI, computer vision and graphics — the announcement names CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML and SIGGRAPH. A proven record of high-impact research greatly strengthens an application.
Verified 25 Oct 2026: research.nvidia.com/labs/amri/post/internships_for_summer_2027/ (official NVIDIA Research page) — pursuing a PhD in CS, CE, EE, Physics or Maths; outstanding publication record at CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, SIGGRAPH; proficiency in AI and computer vision, PyTorch, Python, C++, CUDA; email the team lead or specific team members with the subject “Seeking Research Internship 2027”; brightscholarship.com/nvidia-amri-research-phd-internship/ — same research areas and eligibility, deadline not specified, apply as soon as possible, quotes the subject line as “Looking for a 2027 Research Internship” (aggregator wording; the official page’s “Seeking Research Internship 2027” is used in this article); careerglobalconnect.com/2026/08/31/research-internship/ — announcement does not specify a stipend or a deadline, contact the team for current availability; scholarshipunion.com/nvidia-amri-internship-2027/ — same, official announcement states the last date is not specified.
