Research Assistant – 3D Reconstruction & Gaussian Splatting

About the role

We are seeking a Research Assistant to advance 3D reconstruction research, focusing on cutting‑edge 3D Gaussian Splatting techniques for dynamic and streaming scenarios. The role involves designing and implementing novel algorithms that enable efficient, high‑fidelity 3D scene reconstruction and representation, particularly for embodied agents that continuously perceive and reason about their environment.

Key responsibilities

• Collecting and processing data required for 3D reconstruction experiments.
• Conducting experiments, analyzing results, and documenting findings.
• Providing general support to the laboratory, including maintaining equipment and assisting other team members.

Required profile

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field.
• Knowledge and experience in world modeling, computer vision, and deep learning.
• Strong written and oral communication skills.
• Self‑motivated with the ability to take initiative.

Required skills

• Python programming.
• Computer vision techniques.
• Deep learning frameworks.
• World modeling concepts.
• 3D Gaussian Splatting methods.