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Performance Computing (HPC) clusters and supercomputers. The project with limited project financing and therefore limited contract duration aims to bring cloud-like deployment, automation, and security
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-class infrastructure is available, including a full range of experimental and clinical MR systems fully dedicated to research, state-of-the-art local and scalable cloud-based compute infrastructure (CPU
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100%, Zurich, fixed-term The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and creative doctoral student who specializes in computer vision. The position can
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Applicants should hold a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Salary commensurates with educational qualifications and work experience. Strong
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analysis methods and high-performance computing to develop solutions for specific societal and economic challenges. Located at the D4 Business Village in Root, close to Lucerne, ETH Swiss GeoLab works at
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and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related field. Strong foundations in machine learning and familiarity with
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Lugano and in Zurich. For this position the work location is Lugano. Project background As high-performance computing, AI, and cloud technologies continue to converge; CSCS is redefining how advanced
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80%-100%, Zurich, permanent The High Performance Computing group at ETH Zurich provides world-class HPC and AI/ML infrastructure to researchers across all departments. We operate compute clusters
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services powering advanced scientific computing and AI/ML workloads at scale. You will work at the intersection of systems engineering, software engineering, cloud-native infrastructure, and high-performance
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pioneers an integrated and data-driven approach to analysing social-ecological systems, combining diverse data sources and advanced computational methods to uncover long-term dynamics of ecosystems and human