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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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bodies in both basic and applied research. Working independently or with other scientific staff to deploy simulation or algorithm pipelines on advanced computational infrastructure, such as High
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considered in exceptional cases (e.g. child- or familycare, other projects or employment). Profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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Zurich and the University of Zurich that applies the latest omics technologies for biomolecular research and personalized medicine. The FGCZ Genome Informatics group supports researchers with the analysis
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. Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will