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university dedicated to advancing science and technology. Project background We are seeking a highly motivated PhD student to contribute to the further development of SimuCell3D, a high-performance C
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The available position is funded by the Swiss National Science Foundation. This collaborative project (EPF Lausanne, University of Lausanne, ETH Zurich) aims to improve the performance of joint arthroplasty
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diffraction (XRD), scanning electron microscopy (SEM), X-ray computed tomography (XRCT) Expertise in designing and performing high-temperature and high-pressure in-situ experiments is advantageous. Fluency in
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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qualifications include strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, as well as skills in dynamics & structural health monitoring, data analysis and
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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such supply systems are required for applications such as supplying actuators and sensors in facility
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research project “Connecting physical engineering and digital design: Enabling high-performance timber plate structures through simplified connections and planning processes”. The project is a collaboration
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is an advantage Familiarity with Linux-based computing environments; experience with high-performance computing (HPC) systems is an advantage Knowledge of reproducible research practices, including
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dynamic, international, and supportive research group that values curiosity, rigor, and collaboration. ETH Zurich provides an outstanding scientific environment with access to high-performance computing