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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent RL for Autonomous Drone Swarm to develop learning-based
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to address the deployment limitations of multi-purpose robots in shared environments. Rather than a single monolithic controller, the robot is treated as a network of collaborating semi-autonomous agents (a
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic
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learning-based surrogates for physical systems LLMs and scientific agents – large language models that autonomously reason, plan and execute scientific workflows AI for engineering design – LLM-driven agents
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IoT devices with reliable drivers/APIs; build autonomous/robotic testing workflows. Design LLM agents for planning, tool-use, and experiment control with safety interlocks. Develop and deploy RL/agentic
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members to ensure all project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D
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to drive autonomous, coordinated and efficient satellite operations. . Main Research Topics Onboard Agentic AI for Mission Planning and Autonomous Management Develop onboard AI systems possibly based
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here: https://itacademy.harvard.edu/ . Job Description Job-Specific Responsibilities: The AI Automation Quality Engineer leads the next generation of quality engineering for the my.harvard portal, moving
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, evidenced by research contracts or competitive grants at universities or research centres, will be valued, particularly in the development of algorithms for robotics, autonomous vehicles or multi-agent
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for machine learning, autonomous, causal, and agentic intelligence, as well as interaction with humans, markets, and society at large. Our core mission is to educate and empower the next generation of