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Übersicht Postdoctoral Researcher in Quantum Computing for Fluid Dynamics 100%, Zurich, fixed-term Drucken Join us in exploring the future of computational fluid dynamics How can quantum computers
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[Eshmuminov et al. Nat. Biotechnol. 2020] and the first clinical transplantation of a liver treated and recovered in a perfusion machine [Clavien et al. Nat. Biotechnol. 2022]. In parallel, the lab has
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calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general laboratory activities and will have
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candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is
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-learning models on resource-constrained hardware Candidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning, neuromorphic computing, or signal processing . We are
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, applied physics, computational mechanics, scientific computing, or a related field. A foundation in areas such as solid mechanics, contact mechanics, or multiscale modeling is particularly relevant. You
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computing, and could provide a physical route to Ising and Boltzmann machines that operate on dynamical rather than static states. Job description Build and operate a programmable network of coupled
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conference travel, computing and career development. Zurich consistently ranks among the world’s most liveable cities. Working, teaching and research at ETH Zurich We value diversity and sustainability In line
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facilities for optical and high-speed imaging, material preparation, and scientific computing The position offers substantial freedom to develop independent research directions while collaborating closely
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one of the largest AI-ready supercomputers in Europe. The team counts more than a dozen full-time engineers working alongside leading researchers from EPFL and ETH Zürich, has released the Apertus 1