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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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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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on microfluidic and physical principles, fabricate & optimize using state-of-the-art microfabrication techniques and characterize chip performance (fluidics, mechanics, and reproducibility). Method development
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knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization
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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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-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine learning, optimization
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optimization – with rigorous theoretical analysis. The ideal candidate has strong machine learning and AI expertise and is comfortable with – or eager to learn – large-scale multi-GPU experimentation
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-thinking approach to your work, while enjoying the challenge of learning and mastering new tasks? Are you creative, curious, and motivated to optimize, develop, and implement new ideas? If so, you are
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Perform experiments in PSI laboratories and at synchrotron radiation facilities, data processing and analysis Optimization and automation of reaction parameters, correlation of the structural data with