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for decentralized and distributed data-driven methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be
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funded 3-4 year PhD position at ETH Zurich. Opportunity to directly linking simulations with unique experimental data from intentional cloud perturbations. Access to high-performance computing resources
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elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes
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computing resources Competitive salary according to ETH standards Collaborative research environment with leading experts in AI and management Opportunities to engage with industry partners and real-world
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enhancing our understanding and management of critical resources such as water and energy, as well as geohazards. Switzerland is already heavily affected by climate change, with long hot and dry periods in
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expect: Opportunity to work on a cutting-edge research project in a dynamic, young team together with leading academics and industry experts; Access to state-of-the-art facilities, equipment, and resources
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experts in the field Access to world-class research facilities and computational resources Opportunities for national and international conferences and workshops Support for publishing in high-impact
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and computational resources Opportunities for national and international conferences and workshops Support for publishing in high-impact journals and presenting at major conferences Dynamic
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100%, Zurich, fixed-term The Forest Resources Management Group (FORM) at ETH Zurich aims to maximize forest utilities for humans today and in the future. With this vision in mind, our research is
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100%, Zurich, fixed-term The Ecological Systems Design Group at ETH Zürich is an internationally leading research group in the field of modelling and improving the resource efficiency and