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Field
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-world environments. To achieve this, we will integrate multiple radar units into autonomous vehicle platforms and evaluate perception algorithms in diverse scenarios. The successful candidate will work
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for building autonomous humanoid robots that operate in the real world We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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prior research experience. The post-holder will be expected to prioritise operational and clinical workloads, allocate resources, and make autonomous day-to-day decisions while appropriately escalating
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multiple radar units into autonomous vehicle platforms and evaluate perception algorithms in diverse scenarios. The successful candidate will work closely with our industrial partners and will analyse
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of research Research/publication record Ability to conduct research autonomously Breadth of exposure coming from past and/or current research/activities Ability to gather and share relevant information General
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autonomous task execution and human-robot interaction. The successful candidate will work on cutting-edge research at the intersection of AI, robotics, and multimodal learning. Key Responsibilities Design and
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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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applied to biomedical data. Experience or strong motivation in developing LLM-based applications, AI agents, multi-agent systems, RAG, tool-calling workflows, or autonomous scientific workflows. Familiarity
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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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. • Strong background in autonomous robotic systems, unmanned aerial systems (UAS), or multi-agent robotics. • Demonstrated expertise in one or more of the following areas: o Counter