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electrolysis and fuel cells (SOEC and SOFC). By combining numerical modeling with data-driven approaches, you will identify optimized operating conditions and strategies to improve both steady-state and dynamic
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modeling with data-driven approaches, you will identify optimized operating conditions and strategies to improve both steady-state and dynamic performance in fuel cell (biogas) and co-electrolysis
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/ Production Technology / Process Engineering / Preventive Wound Treatment / Anti-inflammatory and Antimicrobial Dressing / Burn and Surgical Wounds / Particulate Delivery Systems / Ex-vivo Models Where to apply
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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Description Water can move in two interconnected realms: the fast, visible rivers at the surface and the slower, pressure-driven flow within substrates. Today, engineers can model each realm
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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grades in the field of mechanical engineering, material science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics
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High motivation and enthusiasm for working in an interdisciplinary research environment Research focus: The successful candidate will conduct research on data-driven modeling of transportation systems