PhD Research Intern, Physical AI - Foundation Models - 2027
Core
Researching generative AI, multimodal foundation models, world models, and embodied AI for robotics, autonomous driving, and smart spaces.
Role type
PhD Research Intern (Physical AI / Foundation Models)
Builds
Algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.
Domain
Robotics, Autonomous Driving, Generative AI, Multimodal Learning
Deliverable
research
Required skills
Generative AI, Computer Vision, Multimodal Learning, Robotics, Reinforcement Learning, Python, PyTorch
Preferred skills
Large-scale foundation model training, Video models, VLMs, World models, Distributed training, Simulation
Technologies
PyTorch, Python
Responsibilities
Conduct research in generative AI and multimodal foundation models; Develop algorithms for video understanding and simulation; Train and evaluate large-scale models using video, image, and robotics data; Collaborate with researchers and engineers across AI and robotics teams; Publish research at top conferences.
