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Iterative Learning Control (ILC) algorithms on real-world industrial platforms. The project requires good theoretical and hands-on expertise. Perfectly suited for those at the intersection of theory and
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100%, Zurich, fixed-term We invite applications for a PhD position at the intersection of quantum computing and artificial intelligence, focused on the challenge of advancing optimization through
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100%, Zurich, fixed-term The Neurotechnology Group of Prof. Mehmet Fatih Yanik at ETH Zurich is recruiting outstanding postdoctoral researchers and PhD students to join a newly funded LOOP Zurich
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100%, Zurich, fixed-term A PhD student is sought from autumn/winter 2026 for a research project at the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss
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, dexterous, capable, and adapt better to their environment. The lab has showcased its research in robotic design and algorithms through real-world applications such as a robotic fish for underwater locomotion
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100%, Zurich, fixed-term The Neurotechnology Group of Prof. Mehmet Fatih Yanik at ETH Zurich is recruiting outstanding PhD students to join a newly funded LOOP Zurich Flagship Project focused
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training Generate and validate synthetic or gym training tasks Run ablation studies comparing algorithms, reward functions, data mixtures, hyperparameters, and infrastructure settings Evaluate model
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methods towards the envisioned automated platforms. Job description Your main task will be designing, setting up, and performing novel experiments using microfluidics, spectroscopy, and algorithm-driven lab
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way, so that they become more flexible, dexterous, capable, and adapt better to their environment. The lab has showcased its research in robotic design and algorithms through real-world applications
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independently complex software Ability to model and work with algorithmic design, existing software and data provided by industrial partners Knowledge of mathematical optimisation (MILP, IP, LP) and/or control