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enable people, i.e. by contributing to a culture in which failures are dealt with constructively Workplace Workplace We offer You will be academically supervised by Prof. Dr. Carlo Menon at ETH Zurich
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. The remaining time within your appointment you may be engaged to contribute to the general teaching, research and service tasks. Supervisors: Prof. Dr. Philippe De Smedt (Dept. of Environment, FBW), Prof. Dr. Ir
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storage Innovation in the Machine Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website
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have any questions prior to applying, please contact Prof. Dr. Christoph Goebel at christoph.goebel@tum.de. The position is suitable for disabled persons. Disabled applicants will be given preference in
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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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of microfluidic devices. Simulation for microfluidics. (CFD) High Performance Computing and/or GPU programming for this domain. Machine learning algorithms for this domain Clean energy solutions (e.g., microfluidic
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., based on the 1D or analytical model) Hybrid simulation approach (e.g., which combine CFD and 1D simulations) High Performance Computing and/or GPU programming for this domain Machine learning algorithms
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scientific work on design automation for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. One of the main challenges in
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your application (in English or German) to Prof. Dr. Robert Wille (robert.wille@tum.de ). Severely disabled applicants will be given preference if they are essentially of the same suitability and