
Research Leader
2 weeks ago
Senior Research Assistant Job ">
We are seeking a highly skilled Senior Research Assistant to lead the research and development of an autonomous multi-robot system for urban reconnaissance. The ideal candidate would possess strong expertise in multi-agent/multi-robot systems, including experience in algorithm and systems development, field testing, and deployment, as well as a collaborative mindset required for multidisciplinary projects.
Key Responsibilities:
- Conduct research on autonomous multi-robot system for urban reconnaissance, focusing on algorithm and systems development using MARL and Foundation Models.
- Lead and participate in field trials: plan, execute, and analyze system performance during tests in various urban environments.
- Write and present publications to be submitted to major robotics conferences.
- Support documentation for software, test plans, and deployment procedures.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Robotics, or related fields.
- Experience conducting research in Reinforcement Learning (RL) or Multi-Agent Reinforcement Learning (MARL).
- Experience with Foundation Models e.g. Large Language Models (LLM), Vision Language Models, etc.
- Proficiency in common machine learning frameworks, such as PyTorch.
Preferred Skills:
- Experience with OpenAI gym.
- Experience with robot deployment and testing in real-world settings.
- Experience in Robotics simulators such as IssacSim or HabitatSim.
Additional Requirements:
- Strong problem-solving skills and adaptability in challenging environments.
- Excellent communication and documentation abilities.
- Ability to travel and participate in field deployments as needed.
- Ability to travel to local and overseas conferences to present research findings.
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