Ruben Mayer takes over the professorship for computer science

Prof. Dr. Ruben Mayer cites several reasons why he chose the University of Bayreuth. Not only does the UBT have an excellent reputation, but the high status of computer science in Bayreuth was also a criterion that spoke in favour of Bayreuth in Mayer's eyes. "In addition, I have a lot of freedom to shape my professorship in research and teaching, so I can continue my work in Bayreuth under the best conditions," says Mayer.

Before Mayer took up the professorship of computer science at the University of Bayreuth, he was employed by the Technical University of Munich (TUM) at the campus in Heilbronn as a substitute professor of data engineering. Before that, he had held the professorship for Application and Middleware Systems, also at TUM. Mayer received his doctorate from the University of Stuttgart.

Mayer also brings a lot of experience with business cooperation to Bayreuth. "My five-year research goal is to take a significant step towards increasing efficiency in highly scalable distributed data analysis frameworks," says Prof. Dr. Ruben Mayer. "To this end, I will investigate how to find better programming abstractions so that frameworks can be better optimised for efficient execution of analysis tasks without requiring the user to write low-level code."

His research focuses on different types of distributed data management and data analytics systems: Graph processing systems, deep learning systems, blockchain systems and event processing systems.

Mayer has also set goals for teaching. "I would like to build up a specialisation line in Data Systems," he says.