University Professorship of Machine Learning for Engineering

Paderborn University is a high-performance and internationally oriented university. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and actively transfer knowledge into society. As an important research and cooperation partner, the university also shapes regional development strategies. We offer our employees in research, teaching, technology and administration a lively, family-friendly and equal opportunity environment, a lean management structure and diverse opportunities. Join us to invent the future!

In the Faculty of Computer Science, Electrical Engineering and Mathematics at the Department of Electrical Engineering and Information Technology the following professorship is to be filled at the earliest possible date:

W2 University Professorship (F/M/D) of Machine Learning for Engineering with tenure track to W3 

The appointment will be for an initial period of five years as a temporary civil servant. After a successful final evaluation, a lifetime professorship is assured. 

The professorship will focus on machine learning methods that consider the specific structure of data in engineering applications. We welcome applications in all areas of machine learning, artificial intelligence, and related fields, including but not limited to:

• Advanced Energy Systems Optimization and Management
• Next-Generation Signal Processing and Communications
• Embedded AI in IoT and Cyber-Physical Systems, Robotics
• AI-supported system design and optimization
• AI in Healthcare Technology
• Neuromorphic systems

or other electrical engineering domains. 

We are looking for a candidate who conducts cutting-edge research on advanced information engineering methods that leverage the data structure of specifically engineering applications. The ideal candidate will have a distinguished research record demonstrated through international publications. Research applications should relate to electrical and information engineering fields, such as communications engineering, control engineering, signal, image, or speech processing. Connections to the faculty’s research priorities are desirable and advantageous. 

The successful candidate is expected to contribute to teaching in the Bachelor’s and Master’s programmes within the Department of Electrical Engineering, particularly in foundational engineering courses. Experience in securing third-party funding and relevant industrial experience is advantageous but not mandatory. 

With 15 interdisciplinary research institutions and participation in 8 collaborative research centres (5 in spokesperson function), 6 DFG research groups, 8 graduate colleges and 14 DFG priority programmes, Paderborn University is the ideal environment for implementing bold research ideas. As the location of a national high-performance computing centre, the university offers outstanding computing resources to implement these ideas. 

Recruitment requirements: § 36 Abs. 1 Ziff. 1 to 4 HG NRW HG NRW (University law of the State of North Rhine-Westphalia) (completed university degree, pedagogical aptitude, Ph.D. degree and additional academic achievements). 

Since Paderborn University seeks to increase the number of female professors, applications of woman are especially welcome. In case of equal qualification and scientific achievements, they will receive preferential treatment according to the North Rhine-Westphalian Equal Opportunities Policy (LGG), unless there are cogent reasons to give preference to another applicant. Likewise, applications of disabled people with appropriate qualification are explicitly requested. This also applies to people with equal status according to the German social law SGB IX. 

Paderborn University is certified as a family-friendly university. With our Dual Career Service, we support your partner with career orientation in the region if required. We will be happy to provide you with information about living and working in Paderborn and help you to find childcare options. If you are coming to us from abroad, our Welcome Services will support you on your arrival in Germany. 

For further information, please contact the Chair of the Search Committee, Prof. Erdal Kayacan (Email: erdal.kayacan@uni-paderborn.de). 

Applications with the usual documents, including a research and teaching concept, are requested by June 18^th, 2025, quoting the reference number 6865 online via the application portal of Paderborn University. 

Information regarding the processing of your personal data can be located at: https://www.uni-paderborn.de/en/zv/translate-to-english-personaldatenschutz.  

Prof. Dr. Jens Förstner

Head of the Department of Electrical Engineering and Information Technology

Faculty of Computer Science, Electrical Engineering and Mathematics

Paderborn University

Warburger Straße 100

33098 Paderborn