PhD Research Intern, Learning Embodied Skills from Human Data - 2027

• Innovate and implement novel AI algorithms that transform large-scale human data into controllable motion and interaction skills across physical and digital embodiments.
• Develop robust, scalable training and inference pipelines for motion reconstruction, generation, retargeting, and character and robot control.
• Build methods that transfer human skills to humanoid robots, including whole-body loco-manipulation and dexterous manipulation.
• Maintain a close, collaborative relationship with your mentor(s).
• Publish your research findings at leading computer vision, machine learning, graphics, and robotics conferences.
• Partner with product teams to enable effective technology transfer of your work.

Research Topics Include

• Human motion and human-object interaction reconstruction, synthesis, and generation.
• Learning character and robot skills from video, motion-capture, and teleoperation data.
• Cross-embodiment motion generation, retargeting, and tracking.
• Whole-body humanoid control, loco-manipulation, and dexterous manipulation.
• Reinforcement learning and imitation learning.
• Differentiable physics simulation and physically grounded motion generation.
• World action models, vision-language-action models, video and motion foundation models, and LLM-based agents for data generation and embodied AI.

• Pursuing a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field.
• Highly efficient and creative use of coding agents to accelerate research prototyping, experimentation, and development.
• Outstanding engineering skills in rapid prototyping and developing model-training and simulation frameworks (e.g., PyTorch, Isaac Lab, MuJoCo).
• Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.
• A promising research track record with at least one publication at leading computer vision, computer graphics or robotics conference (e.g. CVPR, ICCV, SIGGRAPH, CoRL, etc.).
• Experience in human motion modeling, human-object interaction, character animation, robot learning, reinforcement or imitation learning, cross-embodiment motion tracking, generative modeling, video understanding, or differentiable physics simulation is preferred.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be at the forefront of developing the next generation of embodied AI systems, spanning humanoid robots and digital characters.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD.

You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.