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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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-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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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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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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autonomous or semi-autonomous agents that can integrate literature knowledge, analyze multimodal experimental data, generate mechanistic hypotheses, design experiments, and interact with laboratory
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a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Design and develop robust and scalable game agents to navigate and
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-dependent communities in the Global South. They also, however, highlight occasions of resistance - for example, cases of autonomous local resource management and control - so as to identify alternative
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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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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic
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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