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                Thun explores the possibility of high throughput materials development. In the context of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid 
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                cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and 
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                new generation of catalytic nanomaterials for water treatment, made of Earth-abundant elements and designed for their long-term performance. To fabricate and make these materials durable, the core 
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                fabrication, and biomedical analysis. You will be based at Empa in St. Gallen (Dr. Edith Perret, principal supervisor) and enrolled as a PhD student at RWTH Aachen University (Prof. Stefan Jockenhövel, doctoral 
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                towards a fair and sustainable future for humankind. The main goal of PhD project is to develop a new generation of catalytic nanomaterials for water treatment, made of Earth-abundant elements and designed 
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                fabrication, and biomedical analysis. You will be based at Empa in St. Gallen (Dr. Edith Perret, principal supervisor) and enrolled as a PhD student at RWTH Aachen University (Prof. Stefan Jockenhövel, doctoral 
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                property analysis, sorting, and grading. Contribute to the TIMBERHAUS project by applying advanced image processing and AI methods for timber quality assessment. Integrate experimental data with 
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                is the development ferroelectric lead free ceramics sintered below 500°C and the analysis of their mechanical and electromechanical properties of elastomers with piezoelectric properties using 3D 
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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