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Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group develops and
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, and the social and labour market effects of rapid structural change. The doctoral thesis should consist of at least two of the following sub-studies: Tensions in multi-level governance and the need
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processing (e.g., heat treatments) can have on their structure and properties, and (iv) how WELs differ in different aerospace steel grades. This PhD project will seek to address these gaps. The project will
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FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property-structural relationships
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of calculations on a hardware architecture that matches the inherent nature of quantum chemistry electronic structure calculations and with it the opportunity to capture some of the inherent physics, albeit with
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rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
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at sub-millimetre scales to enhance their tensile strength, promising cementitious materials that meet structural demands with significantly less cement. The successful candidate will: have access to world
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sustainable construction materials. The project includes laboratory experimentation, materials characterisation (e.g., mechanical, durability, and microstructural testing), carbon accounting, and potential
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a candidate (m/f/x) who will use the combination of our spectroscopy infrastructure, and structural information
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join the world-leading Advanced Nano Materials, Structures and Applications (ANMSA) Group, a hub for innovation in the development of novel micro- and nanostructures and miniaturized diagnostic