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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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16.10.2025, Wissenschaftliches Personal We are seeking candidates for a fully funded PhD position (TVL E13) to work on cutting-edge research in safe task completion for humanoid robots in
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Your Job: The PhD project offered will be part of the Cluster of Excellence: PhenoRob - Robotics and Phenotyping for Sustainable Crop Production. PhenoRob performs world-leading research in robotics
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Infrastructure? No Offer Description Work group: IBG-3 - Agrosphäre Area of research: PHD Thesis Job description: Your Job: The PhD project offered will be part of the Cluster of Excellence: PhenoRob - Robotics
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of the latest applications in the automotive, robotics, space, and security sectors—become part of our mission to create innovative solutions for the future. Around the world, intensive efforts are underway
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research? We might just have the right position for you as a research assistant and PhD candidate in generative AI for traffic digital twins. The Chair of Robotics, Artificial Intelligence and Real-Time
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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. The Optics & Sensing Laboratory (OSLab
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), and an increasing number of industrial partners. MUDS is offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong
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of the event-based RL learning rule. Benchmarking criteria include accuracy, latency, data efficiency, and energy consumption to reach a learned solution on small robotic control tasks. Your tasks in detail