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

Responsibilities

• Participate in research and development of 3D and 4D scene reconstruction/generation algorithms (including dynamic scenes and human subjects), and/or lighting estimation/editing, and promote their application in MR/XR scenarios.
• Develop efficient and scalable 3D/4D reconstruction/generation/relighting pipelines, including task formulation, dataset construction, model training and optimization, inference acceleration, and deployment.
• Collaborate closely with cross‑functional teams to promote hardware–software co‑innovation.
• Track the latest research progress in 3D vision and computer graphics, and contribute to papers and patents.

• PhD in Software Development, Computer Science, Computer Engineering, or a related discipline (completed or currently completing).
• Excellent programming skills in C++ or Python.
• Solid foundation in 3D computer vision or computer graphics, including multi‑view reconstruction (e.g., MVS, LRM) and 3D/4D representations (e.g., NeRF, Gaussian Splatting).
• Familiarity with ray tracing and rasterization‑based rendering algorithms is a plus.
• Knowledge in rendering fundamentals, digital asset creation and analysis (Blender, UE, Mitsuba), image‑based rendering and lighting (I , IBL), and lighting estimation.

• Experience with or deep understanding of NeRF or 3D Gaussian Splatting (3
  
  DGS), including variants such as Mip‑Splatting and 3
  
  DGS‑MCMC.
• Understanding of dynamic Gaussian, 4
  
  DGS reconstruction, volumetric video, and feed‑forward 3D/4D generation algorithms.
• Research or project experience in high‑fidelity, efficient training, or compact 3D/4D representation.
• Familiarity with downstream applications of 3D/4
  
  DGS, such as GS Relighting (Gaussian Shader, GIR, Intrinsic Avatar) and GS Editing (Gaussian Grouping, Gaussian Editor). Knowledge of inverse rendering and lighting estimation, including learning‑ and optimization‑based models such as differentiable path tracing and physically‑based inverse rendering.
• Familiarity with computational imaging pipelines (sensor fusion, exposure bracketing, tone mapping, color management for mobile camera systems).
• Publications in accredited conferences or journals (CVPR, ICCV, SIGGRAPH, NeurIPS, etc.) and high‑performance programming or algorithmic competitions experience.

Successful candidates must be able to commit to an onboarding date by the end of year 2026. Please state your availability and graduation date clearly in your resume.

The base salary range for this position is $156,000 – $316,800 annually. Compensation may vary depending on qualifications, skills, competencies, and location. Benefits include medical, dental, vision insurance; 401(k) with company match; paid parental leave; short‑term and long‑term disability coverage; life insurance; wellbeing benefits; 10 paid holidays; 10 paid sick days; and 17 days of Paid Personal Time.

Qualified applicants with arrest or conviction records will be considered in accordance with all federal, state, and local laws. Certain duties may result in withdrawal of a conditional offer based on criminal history: interacting with clients or colleagues, handling confidential information, and exercising sound judgment.