9 electrical-machine-design-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Empa
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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. Empa is a research institution of the ETH Domain. Empa’s Laboratory Materials for Energy Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies
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of scientific articles in peer-reviewed journals Presentation of research results at international conferences and scientific meetings Your profile PhD in Physics, Materials Science, Electrical Engineering
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degree in Physics/Photonics/Engineering or equivalent Experience: Laser applications (measuring, processing, etc.), optical system design, assembly and usage Skills: Hands-on experimental mindset, strong
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of cooperative effects in charge transport, proton dynamics and electrochemical conversion in solids and at electrochemical interfaces. Your tasks The research focuses on experimental investigations and theory
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. Empa is a research institution of the ETH Domain. Empa’s Laboratory Materials for Energy Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies
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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines
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: Characterization of sorbent/porous materials characterization e.g. nitrogen sorption (BET, BJH, NLDFT), breakthrough measurements, SEM, TEM, TGA, FTIR, NMR, thermal conductivity measurements Synthesis and/or shaping