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! 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. * Development of APIs for electrolysis systems and analysis devices * Comprehensive knowledge of data science, data analysis, data management as well as machine learning * Experience with data-driven machine learning (SINDy, LASSO, SISSO packages) * Knowledge & further training: Your professional development is important to us – we provide targeted, individual support * Career Center: You will receive explicit support with regard to your career development opportunities
mehr