We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. As part of this project, high-throughput experimental systems will be enhanced using Design of Experiment (DoE) approaches in order to efficiently explore the high-dimensional parameter space of the electrolysis processes. * Excellent Master's degree and subsequent PhD in chemical engineering, computational engineering, computational mathematics, data sciences / analysis, system or process engineering, or related fields * Excellent knowledge of API programming and automation engineering such as LabVIEW and/or EPICS * Interest in interdisciplinary research projects and excellent cooperation and communication skills as well as teamworking skills
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