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28th October 2026 Languages English English English PhD Research Fellow in Learning-based Control of Autonomous Robot Manipulation Apply for this job See advertisement About the position A fixed
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flight control systems. • Strong publication record in reputable international journals and conferences relevant to robotics, UAVs, autonomous systems, or artificial intelligence
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Fellow, you will lead the development of advanced assurance methodologies for the safe use of artificial intelligence (AI) and autonomous functions in human spaceflight systems. Your work will bridge
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Supervise and mentor research associates, engineers, and PhD students working on the project Collaborate with perception, controls, systems, and hardware teams to guide integration of learned policies
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multi-agent robotic systems, drone swarms, or autonomous decision making. Experience in integrating prediction, planning, decision-making, and control modules within a simulation or experimental framework
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electronics-free and hybrid soft robotic intelligence through fluidic computation, enabling soft robots to perform programmable control, memory storage, communication, decision-making, and autonomous behaviours
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control-system development. • Experience in multi-agent systems, autonomous systems, marine robotics, or coordinated control is advantageous. • Familiarity with numerical simulation and integration
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from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Join a leading research environment in autonomous maritime systems and contribute
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manipulation, autonomous robotic systems, or perception-planning-control integration. Hands-on ability in robotic platform development, system integration, experimental validation, programming, and real-world
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Research Fellow (Software, AI & Autonomous Systems) Required Qualifications PhD in Robotics, Computer Science, Artificial Intelligence, Electrical, Computer Engineering, or related disciplines. Key