204 web-programmer-developer-"https:"-"PhD-Jobs" "https:" "https:" "https:" positions at ETH Zurich
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and active thermal hardware considering SWaP (Size, Weight, and Power) and COTS (Commercial Off-The-Shelf) aspects depending on the mission parameters. As part of your role, you will: Develop and
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activities (incl. Future Food Initiative, Smart Sustainable Farming Program, Thematic Spotlights etc.). Co-development of new inter- and transdisciplinary research programs and activities either based
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to work with leading experts across Europe to develop solutions for Decentralised Critical Infrastructure Asset Monitoring and Condition Assessment . This position focuses on next-generation distributed
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Applications are reviewed on a rolling basis until the position is filled. Only complete applications submitted via ETH Zurich’s online application system can be considered. Please prepare the
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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typically conduct work related to membrane synthesis, experimental characterization, and transport modeling. Job description The postdoctoral researcher will lead and develop research activities on next
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. Roman Zweifel) and CzechGlobe on Innovative technologies cross scales to disentangle carbon dioxide and evapotranspiration fluxes of forests (INETFLUX ). We aim to develop and validate new approaches
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facility automation. To push the efficiency limits of such DC supplies, you will develop new converter concepts for AC/DC power supplies with an ultra-wide input voltage range, which are highly efficient
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Systems.”Funded through an ETH Zurich Career Seed Award, this project aims to develop scientific machine learning frameworks that integrate physics-based modeling with neural network architectures. The goal