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Description Two PhD positions in atmospheric selenium research: field & lab analyses and process-based modeling We are seeking two highly motivated and curious PhD students to join the Inorganic Environmental
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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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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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, focusing on topics such as Lagrangian spontaneous stochasticity, anomalous dissipation, anomalous regularization, and others. Additional research directions can be pursued if desired, upon agreement with
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Lagrangian spontaneous stochasticity, anomalous dissipation, anomalous regularization, and others. Additional research directions can be pursued if desired, upon agreement with the PI. The ideal candidate has
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Methods" (grant number 233216). The successful candidate will investigate both phenomenological and theoretical aspects of turbulent fluids, focusing on topics such as Lagrangian spontaneous stochasticity
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that drive learning and attention in biological processing systems. Working environment the NCS group, it’s working ethics and spirit is fully described in the group’s “lab manual” (https://ncs
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in cold sintering of ferroelectric ceramic materials. This project focuses on the synthesis of ceramic powder and the densification using the cold sintering processing method. The focus of the project
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technologies with CO2 emitters The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to design a decision workflow for assigning CO2 capture technologies