Eberswalde University of Sustainable Development (HNEE) is seeking a scientist to bridge accessible data sets—including those generated at HNEE—with the university’s big data structures, promoting their use for sustainable value creation in the wood industry. Through data mining and mathematical-statistical methods, you will develop AI models to analyze the structure, processing, and utilization of wood as a raw material. This work supports material behavior predictions and application-optimized processes in wood science and engineering. The professorship is closely linked to the Center for Data Science at HNEE and contributes to a cross-institutional research network. Teaching responsibilities include courses in mathematics, statistics, and AI applications, with a focus on machine learning and deep learning, in both German and English. The regular teaching load is 18 SWS.