PhD Internship

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Designing a workflow to transfer motions from SMPL-X to humanoid robots (e.g., Unitree G1) within a simulation environment.

• Creating an algorithm for cross-embodiment motion tracking.

• Assessing the efficiency of the tracking algorithm.

• Integrating motion generation models (e.g., diffusion models) with the tracking algorithm.

⛳️ Requirements

• Proficiency in PyTorch, deep learning, neural networks, and C++.

• Understanding of effective software development practices, such as git and documentation.

• Familiarity with reinforcement learning and robotic physical simulation.

• Knowledge of SMPL, SMPL-X, or character animation.

• At least one publication in CVPR/ICCV/ECCV/IROS/ICRA or a comparable venue.

🏝️ Benefits

• Research experience in both academic and industrial settings.

• Opportunity for paper publication.

• 6-month working contract.

• Flexible remote work arrangements with global accessibility.