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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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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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the structure and function of plant pathogen genomes. We are looking for someone with prior experience in either fungal or transposon comparative genomics, who can explore the diversity and evolution of Starship
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100%, Basel, fixed-term We develop technologies to exploit whole cell and enzyme catalysts for manufacturing of substances for applications in fields such as sustainable chemistry, innovative food
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
. Empa is a research institution of the ETH Domain. The Laboratory for Building Energy Materials and Components develops advanced and/or low eco-impact, porous materials for insulation, sorption, and
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reliable ground truth data for developing automated condition indicators from GPR measurements. Job description Support in planning and preparation of the experimental campaign (test track configuration
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possible longer term perspective at ETH. We specialise in the study of the interiors, atmospheres and evolution of terrestrial planetary bodies, both in our Solar System and beyond. The institute runs a wide
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atmospheric chemistry sub-group at ETH They will develop their own scientific and measurement portfolio They will be responsible for deploying, analyzing, and maintaining instrumentation as well as publishing
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational