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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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the offer, initially planned for November 2026. The PhD candidate is expected to participate in simulation and experimental activities related to autonomous spacecraft systems and validation frameworks
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for autonomous dining: Enabling safe and trusted agentic commerce”. He/She will be required to: (a) lead cutting-edge research on agentic AI, Large Language Models (LLMs), AI agents and execution assurance
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Qualifications • PhD in Aerospace Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or a closely related discipline
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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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to developing the next generation of resilient robotic networks for critical maritime operations. As a PhD candidate, you will work at the intersection of robotics, artificial intelligence, and autonomous systems
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: PhD or M.D. in bioinformatics, computational biology, genomics, computer science, biostatistics, biomedical sciences, or a related field. Strong experience in bioinformatics and analysis of high
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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 Path Planning for Autonomous Drone Operations to develop
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on future long autonomous navigation techniques. About you a PhD in a relevant field or near completion extensive knowledge of robotic navigation, machine learning or other relevant fields experience working
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partners in assessing their utility using data collected by an AUV system and providing advice on future long autonomous navigation techniques. About you a PhD in a relevant field or near completion