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advanced data mining and machine learning techniques, we will extract valuable data from databases, data repositories and non-strucured data sources (e.g. scientific articles and supplementary materials
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, develop methods to speed up this development by focusing on machine learning techniques to address sustainability challenges in chemistry research. We will explore novel pathways to process design and
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100%, Zurich, fixed-term The Immersive Models research project is an interdisciplinary collaboration between Gramazio Kohler Research at the Federal Institute of Technology Zurich (ETH Zurich) 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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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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) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning Seismology and Induced Earthquakes. The preferred starting date for this position is
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tendon systems, incorporating cutting-edge sensing and proprioceptive technologies, and controlling the robot through advanced control algorithms and machine-learning techniques. Job description The
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sequences Have experience with computer simulations and programming Your workplace Your workplace We offer ETH offers an exciting opportunity to work at the forefront of scientific research. Collaborations
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information, check out ETH has several internationally recognized research groups dedicated to hardware prototyping, electrical engineering, robotics, signal processing, physiological computing, and machine