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The Department of Physics (www.phys.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The professorship should focus on the realization of materials and devices for photonics, electronics, and quantum technologies. Emphasis should be placed on novel physical...
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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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the Department of International Law. They will also be called upon to teach classes and supervise master’s dissertations in the interdisciplinary programme and may be asked to contribute to executive education
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. Céline Labouesse. The position is subjected to admission to the doctoral program at D-MAVT. Profile We are looking for : a curious and resourceful individual, with a pronounced taste for interdisciplinary
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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to inform model adaptation and performance evaluation. Implementing ROM methodologies for fluid–structure interaction in wind turbine systems, balancing accuracy and computational efficiency. Validating
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100%, Zurich, fixed-term The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel . We develop novel algorithms and next-generation