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working in a dynamic, multi-cultural environment where creative ideas, dedication, and personal initiative are rewarded. Empa offers outstanding infrastructure, a broad interdisciplinary environment and
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product quality attributes, such as remaining shelf life. Process measured sensor data of commercial cold chains, analyze data for variability, and reformat data in databases. Use the simulation-based
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the following topics: plasma technology, surface science, water treatment, redox/radical chemistry. Proficient in spoken and writing English. German fluency is not needed but considered a plus. You are a dynamic
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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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-based simulation. Additionally, novel in situ, real-time monitoring and sensing technologies are developed and subsequently integrated with AI for data analysis. Experiments are conducted in-house and
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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layers, thorough FLA processing, and extensive materials characteri-zation using XRD, electron microscopies, TOF-SIMS, electrochemical methods, etc. Modeling and simulations should help us to explain
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and the Laboratory for Biointerfaces. This dynamic environment in the ETH Domain offers state-of-the-art facilities, expert mentorship, and an ideal platform to advance your scientific career. Starting
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. Mastering German and/or French are helpful but not mandatory. Our offer Empa offers a dynamic and inspiring research environment at its Thun campus, located near Bern. You will work on a scientifically and
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experience in battery research and proficiency in Python programming is an advantage, but not a requirement. Our offer You will join a dynamic young international research group working in state-of-the-art