Summary
Our research team works on cutting-edge projects in computer graphics and AI, focusing on building practical and publishable innovations that advance state-of-the-art techniques. We are looking for a passionate and talented PhD intern to join our research team. The ideal candidate is highly motivated with strong fundamentals in graphics and modern ML, hands-on implementation ability, and demonstrated potential for impactful publications.
This candidate is expected to:
Conduct original research in computer graphics and AI-related areas (e.g., real-time 3D reconstruction, neural rendering, differentiable rendering, inverse rendering, neural radiance fields/3D Gaussian splatting, learning-based denoising/super-resolution, AI-assisted rendering pipelines), from conceptualization through implementation and evaluation.
Identify state-of-the-art (SOTA) techniques by performing systematic literature reviews and benchmarking existing methods to inspire new ideas.
Write research papers and publish findings in top-tier graphics/vision / ML venues (e.g., SIGGRAPH, SIGGRAPH Asia, EGSR, TOG, TVCG, CVPR/ICCV/ECCV, NeurIPS/ICLR as appropriate).
Requirements
Deep understanding of computer graphics fundamentals (rendering pipeline, ray tracing, sampling/denoising, geometry/BRDF, reconstruction) and solid ML foundations.
Strong programming skills, with hands-on experience in Python + PyTorch and ability to build reproducible research code.
Proven experience in conducting original research, with at least one publication in a peer-reviewed conference/journal (graphics/vision/ML preferred).
Ability to work independently and collaborate effectively within a team.
Preferred Qualifications (Nice to have)
Experience with NeRF / 3DGS / SLAM / multi-view stereo / implicit representations.
Experience with real-time constraints (latency, streaming, compression, profiling, GPU memory optimization).