PhD Research Intern, 3D World Models
Core
Researching open problems in 3D generation, reconstruction, and world models to bridge generative AI and the physical world.
Role type
PhD Research Intern (3D World Models)
Builds
Novel research directions, state-of-the-art methods, working systems, prototypes, and scientific publications.
Domain
Computer Vision, Computer Graphics, Machine Learning, Generative AI
Deliverable
research
Required skills
Generative models (diffusion/video), Neural scene representations, 3D reconstruction, Research design, Implementation, Evaluation, Academic publishing
Preferred skills
None stated
Technologies
Gaussian splats, Radiance fields, Per-scene optimization
Responsibilities
Explore novel research directions in 3D generation and reconstruction; Design, implement, and evaluate state-of-the-art methods; Present findings and contribute to scientific publications at top-tier conferences.
Seniority
PhD Candidate (Research Intern)
