We are looking for research assistants to conduct research in the areas of safety‑critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state‑of‑the‑art machine learning systems, with applications to various robotic systems.

• Conduct research in the areas of control theory and machine learning.
• Execute experiments on different robotic platforms.
• Collaborate internationally in the above areas.
• Publish papers in related top journals and conferences.

• Bachelor’s degree in control theory, machine learning, robotics, or a related field.
• Familiarity with nonlinear systems and control theory/state‑of‑the‑art machine learning systems (e.g., diffusion models, transformers) and robotics.
• Good written and oral communication skills.
• Proficiency in programming (e.g.,...