211 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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largest research centre for the natural and engineering sciences in Switzerland. The current research focus is the investigation of novel magnetic systems at the mesoscopic scale making use of the clean
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solutions. Project background Organic redox flow batteries are a promising next-generation technology for large-scale, safe, and sustainable energy storage. Their performance relies critically on the ability
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and innovations directly into practice. The Laboratory of Energy Science and Engineering (D-MAVT) is working actively on developing numerical and experimental tools to probe single- and multiphase
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100%, Zurich, fixed-term The Nanomaterials Engineering Research Group at the Institute for Chemical and Bioengineering is an interdisciplinary team composed of chemical engineers, physicists
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materials, surgical technologies. Ability to collaborate and communicate across engineering, materials science - chemistry, manufacturing, and clinical teams. Structured, detail-oriented, and rigorous
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics
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scientists and engineers. This position is offered as a fixed-term appointment for an initial period of two years, with the possibility of extension. Project background The objective of this initiative is to
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At ETH Zurich, in close collaboration with the spin-off optohive, we are developing a new generation of functional near-infrared spectroscopy (fNIRS) technology to enable fast, wearable brain
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and duty-cycling strategies responsive to structural dynamics. Energy harvesting and lifetime optimization. Integrate multi-source energy harvesting (vibration, solar, RF, etc.) and dynamic power
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- and medium-term macroeconomic outlooks using macroeconometric models, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods