Research Scientist Graduate; 3D​/4D Generation PhD

Position: Research Scientist Graduate (3D/4D Generation) - 2026 Start (PhD)
The PICO MR team is dedicated to developing core environmental perception algorithms for the PICO system. The team focuses on three main areas: visual localization, scene perception, and 3D reconstruction. Its work in MR scenarios includes research, exploration, and deployment of technologies such as multimodal scene perception (MLLMs), AIGC scene generation, depth estimation (Mono/Stereo/MVS), 3D environmental perception, 3D scene reconstruction (3

DGS, NeRF, etc.), visual localization, and lighting estimation. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite cessful candidates must be able to commit to an onboarding date by end of year 2026.

Please state your availability and graduation date clearly in your resume. Responsibilities
1. Participate in R&D of video generation and 3D algorithms, and promote their deployment in MR application scenarios.
2. Improve the efficiency of generative models (e.g., enhance performance upper limits, accelerate inference speed, reduce costs, increase resolution).

Minimum Qualifications 1. Individuals who are completing or have recently completed a PhD degree in Computer Science, Engineering or quantitative field
2. Excellent programming skills; proficient in Python/C/C++ and common deep learning frameworks.
3. Solid algorithm foundation in AIGC/3D vision; project experience in AIGC generation.
4. Thorough understanding of latest advances in video/image generation.
5. Proficiency in 3D representation/rendering models (NeRF, 3

DGS)

Preferred Qualifications:

1. Experience in any of:
Video generation (Long video/HD video), Video editing (In painting/Outpainting)/enhancement (Super-resolution/Restoration), 3D/4D novel view synthesis, Video depth estimation
2. Familiarity with 4

DGS solutions.
3. Preference for publications in conferences/journals (computer vision/graphics/machine learning) By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: