23 high-performance-quantum-computing "https:" "https:" PhD positions at Empa in Switzerland
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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performs research on nanomaterial engineering, micro-optics and microfluidics, which provides a wide range of opportunities for the PhD candidate. Your profile We are looking for suitable candidates with a
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of German is an asset Our offer Fully funded four-year PhD position at Empa in Dübendorf, starting by mutual agreement, no later than August 2026 Joint supervision by Empa and ETH Zurich Challenging and
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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-based materials and an application in agriculture, health and textiles, in order to identify application fields with high environmental sustainability potentials. This PhD position is part of the project
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qualifications include: Hands-on experience with microbiological methods, material characterization, or polymer/ nanoparticle/ hydrogel synthesis. Strong analytical and problem-solving skills with high scientific
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. To this end, we will combine high resolution scanning probe microscopy with fluorescence imaging to study amyloid and tau proteins in biofluids from patients to identify those at risk of developing a specific