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-ceramic composites in close collaboration with a PhD student at the Biomaterials Engineering Group at ETHZ and the identification of process-structure-property relationships enabling the efficient design
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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the potential to accelerate materials design and optimization. By leveraging large datasets and complex algorithms, ML models can uncover intricate relationships between composition, processing parameters, and
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performance, performer training and performing archives, this PhD will examine how engagement with an archive enables performance histories to be taxonomised and reanimated, using Reckless Sleepers’ body
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environmentally inadequate. This PhD research seeks to redress this imbalance by developing scientific strategies for the regeneration, selective disassembly, and material recovery of both mono-material and blended
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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications