The goal of our research and development work is to create cost-effective batteries, fuel cells, and electrolysers with improved energy and power density, longer service life, and maximum safety! PhD Position - Design of Experiment and Digital Process Optimization for CO2 Electrolysis - DoE is essential for data-efficient exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. The API-based integration of the digital twin into the process control of the CO2 electrolysis enables autonomous operation of the system, which can differentiate between market-, system- or network-based operating modes depending on requirements. In addition, our company medical service and an experienced social counseling team are available to assist you on site
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