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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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-cause analysis, predictive reliability, multimodal data fusion, digital twins, trustworthy and explainable AI, autonomous and agentic inspection systems, and privacy-preserving collaborative learning
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, for example AI agents and automated decision-support systems, seen from a systems perspective. The subject area includes, among other things: Scenario-based and simulation-based testing of autonomous systems
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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architectures. · Proven track record of designing, developing, and deploying AI-powered agents, autonomous systems, and workflow automation solutions. · Deep expertise in Speech-to-Text (STT) and
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, but also encounter AI-mediated contributions from colleagues. Messages may be written, filtered or delivered with AI, while autonomous agents increasingly participate in work processes and collaboration
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eligibility criteria. Documented ability to work independently and autonomously. Experience in the development of distributed AI or multi-agent systems based on current research. A relevant publication record
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) to join a three-year research project on the future of autonomous driving in public transport, expected to start on October 1, 2026 (subject to funding approval). The position focuses on understanding
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autonomous or semi-autonomous agents that can integrate literature knowledge, analyze multimodal experimental data, generate mechanistic hypotheses, design experiments, and interact with laboratory