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of this position is to establish advanced in vitro simulation models for vascular grafts to assess the performance of nanoengineered antimicrobial and antifouling coatings. Key objectives include: Development
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establish advanced in vitro simulation models for vascular grafts to assess the performance of nanoengineered antimicrobial and antifouling coatings. Key objectives include: Development of an in vitro model
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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. Empa is a research institution of the ETH Domain. Environmental noise from air and ground-borne traffic is an underestimated problem. In our research group, we develop new technical solutions to mitigate
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Group at Empa, an interdisciplinary team specializing in structural engineering, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations
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utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood
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-negative construction materials. We are looking for a highly motivated candidate with a strong background in asphalt research, eager to work on the future of sustainable asphalt pavements. Your tasks You
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. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding materials structure in materials science. Our core activities is the
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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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of advanced planning and energy management solutions that enhance self-consumption by intelligently controlling PV systems, batteries, electric vehicle charging, heat pumps, and thermal storage. Beyond