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design of novel materials. This is part of a large ERC Synergy project involving de novo simulations, automated experimental platforms driven by AI models. It offers extraordinary opportunites to
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simulations using the method of Finite Differences in the Time Domain (FDTD), determination of optical material constants by multiangle UV-VIS-NIR ellipsometry, and/or characterization by UV-VIS-NIR
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simulations. The research will focus on the behavior and interaction of buildings within masonry aggregates, supporting the development of innovative assessment approaches and resilient retrofit solutions
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simulations software such as COMSOL or CST. Characterize samples in the lab. Model experimental data from first principles using Matlab/Python codes. Write scientific publications, file patents, disseminate
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
models, simulations, environmental databases, sensors, surveys, and interviews Experience in scientific programming, scripting, or workflow automation. Knowledge of Python or an equivalent language is