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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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experience in working with vibration or acoustic emission sensors would be advantageous Our offer This research, part of a large EU Project, will be carried out primarily at Empa in Dübendorf but may also
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. This project will center on high-entropy oxides, a promising class of catalysts, to help transform CO2 into valuable hydrocarbons. The work is part of a broader initiative aimed at advancing materials
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temporal and spatial controlled drug release systems through stimuli-responsive materials. These tasks are part of a larger Empa's initiative, called Wound Booster , involving several PhD students working
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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. Experience or interest in 3D concrete printing is also important. Additional skills, including experience in small and large-scale experimental testing, finite element modeling, and knowledge of shape memory