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, Mathematics, Physics, Computer science, or a related field. Prior experience in integrating diverse datasets and developing computational tools for data analysis and Interest in designing and implementing
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to develop predictive methods for identifying sustainable chemicals
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analysis skills. The working language is English. Strong candidates have a master's degree in Biology, Mathematics, Physics, computer science, or a related field, with a strong interest in biological
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science, or a related discipline and have a background in solid mechanics, applied physics and mathematics, computational sciences, or a related field. Additionally, you have prior programming experience
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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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information science, focusing on spin qubits and hybrid superconducting-semiconductor quantum devices. This position is offered in a shared initiative between the laboratories of Prof. Wallraff and Prof. Scarlino
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(micro)-mechanical computing elements that use energy from ambient vibrations – without the need for power wires or batteries. These elements will rely on geometric nonlinearities to perform complex tasks
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climate modeling. In addition to the research project, you will gain experience in teaching, broader science communication, and/or laboratory management by contributing to departmental teaching, outreach
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Control Laboratory (IfA) is a community of approximately 50 researchers working on the development of methods and computational tools for automation, exploring their potential for promoting our social