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of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic Environments within the general
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autonomous unmanned systems see growing deployment in real-world settings, swarms of these systems are becoming essential for accomplishing tasks that cannot be handled by a single robot. In challenging
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Intelligence, Reinforcement Learning and Multi-agent Reinforcement Learning or alternatively, from candidates innovating with AI in domains such as Medicine and Healthcare, Robotics and/or Autonomous Systems
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, tightly collaborating research groups conducting research and education in Robotics and AI, Intelligent Autonomous Systems, Robot Learning, Machine Learning, Human-Robot Interaction and Natural
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particular strengths in developing the fundamentals of AI and also in applying AI in Financial Technology and other areas such as Digital Health, and Robotics and Autonomous Systems. Our new Temple Quarter
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components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains such as healthcare, finance, cybersecurity, and autonomous vehicles, where they interact
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bottleneck. You will explore methods to partially automate context engineering, enabling faster development cycles, stronger scalability, and more autonomous, high-fidelity multi-agent systems within
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”. Learning-based predictive decision-making for autonomous systems under uncertainty: This PhD project is focusing on advancing proactive decision-making in multi-agent autonomous systems by leveraging and
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). Where to apply Website https://www.academictransfer.com/en/jobs/356666/phd-on-develop-an-agent-based-d… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in
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research that addresses emerging security threats in AI products, particularly as autonomous agents become more sophisticated and widely deployed. Working alongside a dedicated team of security researchers