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Description Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge
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AI-assisted proof engineering. The position is part of an ARIA-funded collaboration between EPFL and Imperial College London whose goal is to build a formally-verified ML inference engine
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build on two trajectories currently underway. The first is led by a PhD researcher who investigates educational practices that protect learning in the presence of increasingly powerful automation tools
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. Applicants should have a PhD, or have passed their PhD viva, in plasma science, physics, electrical engineering or a closely related discipline. Essential experience includes previous research on plasma-liquid
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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for establishing correctness with respect to formal specifications Engineering efficient implementations that make high-level abstractions practical We seek outstanding candidates working in programming languages
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intelligence, inequality reduction, building just societies, conflict resolution, global governance, democratic erosion, health access, and science policy. The full job description is available, here: https
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colleagues, have access to modern research infrastructure, and enjoy strong opportunities to attract external funding. You will have the space to make a real difference for your students, your research, and
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through open innovation. Job requirements You have a PhD degree or expect to obtain a PhD degree soon in mechanical engineering, maritime technology, operations research, systems and control, or a related