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. Empa is a research institution of the ETH Domain. Our group of Biosensing and Functional Surfaces focuses on the studying the role of protein aggregation in dementia progression using nanoscale analytics
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) to ensure efficient roll-out of the system Profile MSc degree in Geophysics, Seismology, Earth Sciences, Physics, Engineering, or a related field Strong quantitative and analytical skills as
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and can also build reliable, deployable systems. You: Must hold a master’s degree in computer science, data science, or a closely related field Have strong analytical and problem-solving skills Are able
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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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, Statistics or a related field and are motivated to apply advanced analytics to real-world digital health challenges. You have strong foundations in signal processing and are confident working in Python
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, engineering, atmospheric/environmental sciences, or a related field. Previous experience with one or more of the following topics is preferred: analytical techniques for aerosol properties, micro
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laboratory analysis, including generating isotopic or trace element data You have strong quantitative skills and comfort with coding, and good analytical thinking You are committed to working in
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oxidation process (EOP) for the removal of emerging contaminants in water via the generation of hydroxyl radicals Reaction intermediates and products will be analysed using a range of analytical chemistry
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qualifications include: Hands-on experience with microbiological methods, material characterization, or polymer/ nanoparticle/ hydrogel synthesis. Strong analytical and problem-solving skills with high scientific
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and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods