Microsoft's Applied Sciences group in the Windows organization aims to push the frontier of neural rendering and generative 3D/4D for digital humans and interactive characters.
Requirements
Hands-on experience with deep learning (e.g., PyTorch); familiarity with diffusion/transformers and training pipelines.
Proficient programming skills (Python and/or C++) and clear technical communication.
Publications in CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICML, ICLR, 3DV, AAAI, IJCAI, or journals (e.g., IJCV , IEEE/ACM Transactions).
Depth in one or more: neural rendering , Gaussian splatting , NeRF-style models & variants, generative 3D/4D (diffusion) , speech-/text-conditioned animation , character control/behavior modeling , multimodal learning , 3D consistency & evaluation.
Experience with scalable training, dataset curation, and evaluation; efficiency techniques (distillation/quantization) are a plus.
Responsibilities
Conduct original research and build prototypes in areas such as: Neural rendering & scene representations (radiance fields, Gaussian splats, hybrid implicit/explicit models, dynamic/deformable fields).
Generative 3D/4D (image-/video-/text-conditioned 3D generation, diffusion/score-based methods, consistency & editability).
Digital human
image-to-3D
Gaussian splatting
neural/implicit scene representations
diffusion-based 3D and 4D generation
Other
Currently enrolled in a Master’s or Ph.D. program in CS, EE, Applied Math , or related field with a focus in vision/graphics/ML.
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples.
During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community.
Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
