Philipps University of Marburg: New professorships for artificial intelligence!

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The University of Marburg is strengthening its AI research with new professorships and promoting innovative solutions in medicine and environmental sciences.

Die Uni Marburg stärkt ihre KI-Forschung mit neuen Professuren und fördert innovative Lösungen in Medizin und Umweltwissenschaften.
The University of Marburg is strengthening its AI research with new professorships and promoting innovative solutions in medicine and environmental sciences.

Philipps University of Marburg: New professorships for artificial intelligence!

The Philipps University of Marburg is taking a further step in research and teaching in the field of artificial intelligence (AI). From April 2025, Prof. Dr. Ralph Ewerth and Prof. Dr. Martin Becker will take up their new professorships in the mathematics and computer science departments. This is reported by the Philipps University of Marburg. The appointments of the two professors are part of the Hessian Center for Artificial Intelligence, known as hessian.AI. With this expansion, the professorship of Prof. Dr. Christin Seifert, who focuses on explainable AI in sensitive application areas such as medicine, adds.

Prof. Dr. Thomas Nauss, President of the University of Marburg, explains the importance of these new professorships for strengthening AI knowledge at the institution. The main focus of the research will include hybrid AI methods, machine learning, semantic knowledge representation, and the evaluation of decision-making processes. Areas of application range from (bio)medicine, digital education and information systems to the analysis of complex environmental and behavioral data.

Research focus of the new professors

Prof. Dr. Ralph Ewerth will work intensively on multimodal modeling and machine learning. He researches the automatic analysis of digital images, image-text combinations and videos. He pays particular attention to neuro-symbolic approaches and generative AI models. Ewerth also plans to cooperate with the Marburg Center for Digital Culture and Infrastructure and the Foto Marburg image archive.

Prof. Dr. Martin Becker, on the other hand, will develop AI and machine learning methods to analyze complex systems. His focus is on intelligent decision support in the areas of (bio)medicine, environmental sciences and behavioral research. Becker will also work on discovering hidden patterns and integrating domain knowledge. Previously, he was a postdoctoral researcher at Stanford University.

The role of hessian.AI and its importance for the world of work

The hessian.AI initiative includes 13 Hessian universities and promotes AI research at an international level. The new professorships represent an important part of Hessia's AI strategy, which aims to develop innovative solutions for significant societal challenges. The combination of cutting-edge research and application orientation in Hesse is of great importance for the state's economy. Hesse has a high level of digitalization in key sectors such as ICT, finance and transport, which strengthens the regional economic structure.

The hessian.AI reports that AI is not seen as a threat to the job market, but rather as a driver of value creation. Given the increasing digitalization, AI is seen as a solution to the shortage of skilled workers. AI can make many processes more efficient and open up new areas of activity. Studies show that AI technologies have the potential to have profound effects on the world of work.

The Federal Agency for Civic Education points out that the impact of AI on the labor market is currently limited, but it is predicted that AI will bring about a change in job profiles, activities and ways of working. While some jobs could be taken over by AI, others, particularly those that require human interactions, are less affected. Therefore, AI systems could act as both complementary and substitutes.

In summary, the new professorships at the University of Marburg will not only promote training and research in the specific area of ​​artificial intelligence, but will also contribute to the general development of the AI ​​ecosystem in Hesse and beyond. This represents an essential component for the future world of work, in which AI will play an increasingly central role.