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100%, Zurich, fixed-term The Swiss Seismological Service (SED ) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning
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is a plus Requirements Additional Information Website for additional job details https://www.hipeac.net/jobs/14573/phd-position-on-secure-machine-learning-on-ri… Work Location(s) Number of offers
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candidates should have Solid working knowledge of software tools and environments for application deployment, optimization, and performance analysis Background in modern machine learning models, such as
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Professor Dr. Rama Gottfried at the Institute of Computer Music and Sound Technology (ICST) at the Zurich University of the Arts (ZHdK). Project background The project aims to develop theoretical and
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at ETH Zurich. Our mission is to accelerate chemical discovery using digital tools. We predict chemical reactivity and molecular properties using the tools of machine learning, computational chemistry, and
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novel methods at the intersection of advanced control, optimization, manufacturing science, and machine learning, to create the next generation of sustainable automation solutions for modern manufacturing
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functionality and control Employing advanced control strategies and machine learning approaches, including imitation learning, for effective manipulation You will closely collaborate with other PhD students
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in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
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, and machine learning. We collaborate with several of them as well as institutions and companies in Switzerland and abroad. chevron_right Working, teaching and research at ETH Zurich We value diversity
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include international collaborations with academia and industry, mentoring MSc, and PhD students, and the potential for transitioning to work with our robotics industrial partner. Dr Diego Paez-Granados in