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-to-end virtual supply chains. This project also aims to optimize other thermal processes using digital twins, such as thermally-steered drug delivery processes for applications in oncology. PhD position
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, based on measured air temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to optimize other thermal processes
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economic impact of optimized cooling solutions and refrigerated supply chain solutions. Your tasks The priorities of the tasks will be flexibly decided depending on the concrete opportunities at hand after
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PhD research will focus on characterizing and optimizing architectured fabrics and textiles using 3D micro tomography as a main tool to investigate tribological and thermal properties of different
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concept is the use of plasma technology. Your tasks This PhD position will contribute to the SNSF-funded Ambizione project Plasma4Water . Your main task will be the design, fabrication and optimization
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applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as
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deep learning into practical tools for sustainable urban energy systems, supporting applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be
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position will contribute to the SNSF-funded Ambizione project Plasma4Water. Your main task will be the design, fabrication and optimization of catalytic coatings for water treatment. As a PhD candidate, you
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programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
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analysis. Experience in formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral communication skills in German are desirable