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and in-field operation. The project will investigate co-simulation and multi-domain integration methods, linking ECU DTs with vehicle dynamics, powertrain, and in-vehicle communication networks
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dynamic, interdisciplinary, and international team Successful candidate should have prior experience in at least one of those areas: analytical methods (e.g. pro- filometry, SEM), machine learning and/or
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excellence Involvement in both European and national-level research initiatives The opportunity to conduct dynamic research in a highly collaborative, international environment Access to advanced simulation
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to advanced laboratory and validation infrastructure Opportunities for research visits, conference travel, and collaboration with leading universities and companies A dynamic, international team environment
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. The candidate will explore which data fields and workflows are essential for widespread adoption, how to parameterize LCA templates for diverse building elements, and how accessible automation can support dynamic
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and study-oriented projects The chance to do high-level research in one of the most dynamic universities and research groups in the region Opportunities for conference visits, research stays, and