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; Distributed multi-agent sensing and cooperative positioning algorithms; Machine learning and data-driven methods for ambient awareness. Working Environment: The PhD will be conducted at the University
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be followed: Q1: How can an agent leverage multi‑modal expert demonstrations (e.g., vision, force, proprioception) to acquire coherent and transferable mobile manipulation skills? Q2: How can an agent
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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of the project. Where to apply Website https://www.academictransfer.com/en/jobs/357533/phd-position-co-created-agent-b… Requirements Specific Requirements You have successfully completed a MSc degree in urban
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create transparency and coordination across many stakeholders. You will work in a strong multi-actor consortium with University of Twente (UT), Tilburg University, Saxion, regional networks (e.g
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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complex dynamics. In parallel, collective decision-making mechanisms (e.g., opinion dynamics) will be leveraged at the high level to coordinate the desired behaviours of multi-agent systems in response
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) and agentic AI in Industrial Internet of Things (IIoT) and operational technology (OT) environments. Modern OT installations—such as factories, utilities, transport, and pipelines—are highly networked
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth