Research Intern - World-Action Foundation Model, Robotics
Research intern developing world-action foundation models for robotics and simulation, working on vision-physics integration, Gaussian splatting, and related areas for publication at top conferences.
About the job
Responsibilities
- Conduct research on pretraining world-action foundation model with various world modalities including vision and physics associated with ego actions, serving the purpose for both robot action and simulation world generation.
- Dive into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, spatial reasoning, deformable object modeling and simulation.
- Work closely with Research Scientists and Engineers on high quality research publications for submission to top-tier conferences.
Requirements
- Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects.
- Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics.
- Passion for next-generation, scalable autonomy and robotics.
Skills
Machine Learning, Computer Vision, Computer Graphics, Robotics, Gaussian Splatting, Foundation Models, Spatial Reasoning, Deformable Object Modeling, Simulation, Vision-Physics Modality Association
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