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. * Comprehensive knowledge of data science, data analysis, data management as well as machine learning - You can look forward to a comprehensive occupational health management program with a wide range of offerings - e.g., a beach volleyball court, running groups, yoga classes, and much more.
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