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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
scientific objectives include: Elucidating how monomer structure, solvent choice, and oligomer formation govern polymerization pathways, phase behavior, and network evolution Understanding polymer–solvent
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heritage. Muoniverse brings together 30 research teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates
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projects in the field of analytics and maintain an extensive network with universities, research institutes, industry partners, and federal authorities – both nationally and internationally. The training
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laboratory at Empa. The group focuses on developing novel reactor and process concepts along the value chain of carbon capture and utilization, and on integrating them into a net-zero energy system. The work
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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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analytical and problem-solving skills with high scientific curiosity. Ability to work independently and in a collaborative, interdisciplinary environment. Excellent communication skills in English (both
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professional network and build a strong foundation for a future career in academia or industry. Empa actively supports your professional and personal development. The position is initially limited to three years
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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multifractal analysis, urban and energy planning, geography, and artificial intelligence to develop coherent and resilient approaches for urban energy infrastructures under land-use constraints such as No Net
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, geography, and artificial intelligence to develop coherent and resilient approaches for urban energy infrastructures under land-use constraints such as No Net Land Take. The consortium comprises four