In mid-September 2020, two master’s theses started, whose topics are embedded in the DIfA project. Analogous to the structure of the DIfA project, the focus of these master theses is on the areas of unsupervised anomaly detection and natural language processing. The two master students are supervised by the project leaders Jakob Nonnenmacher and Gerrit Schumann.