Postdoctoral Researcher

**Job Description**
This position involves investigating and developing robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement learning, imitation learning, and integrating large language, vision-language, and vision-language-action models to enhance generalization. A primary objective is to design lightweight and efficient learning architectures suitable for deployment on resource-constrained robotic systems. The successful candidate will have access to state-of-the-art computational resources.

**Skills & Abilities**
• Strong background in reinforcement and imitation learning for robotics.
• Experience with LLM, VLM, or VLA.
• Proficiency in machine learning frameworks (e.g., PyTorch) and common ML libraries.
• Ability to perform multidisciplinary research and contribute to funded research programs.
• Good English communication skills (verbal and written).
• Experience with ROS and simulators (e.g., Isaac Gym or MuJoCo) (plus).

**Qualifications**
Required Degree(s) in:
• Computer Science
• Machine Learning
• Robotics
• Related field

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