Professorship (W3) in Intelligent Signal Processing - Stuttgart

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A W3 professorship in Intelligent Signal Processing is available at the University of Stuttgart in the Faculty of Computer Science, Electrical Engineering and Information Technology. The professorship will be part of the Institute of Signal Processing and System Theory. We are looking for an individual who can represent the area of Intelligent Signal Processing within research and teaching. The ideal candidate is internationally recognized in research, and if possible, has experience in working with industry or is willing to do so. For example, expertise in one or more of the following topics is desirable:

• Theory and methods for statistical signal processing and statistical learning
• Robust, adaptive and explainable deep learning
• Hybrid model-based, data-driven inference and causal learning
• Bioinspired signal and information processing
• Intelligent signal processing in multiple application areas of Electrical Engineering and Information Technology (e.g. automotive, biomedical, production, Quantum)

The ideal candidate can relate to some of the strategic profile areas of the university, such as Aerospace Technologies, Biomedical Systems and Robotics for Health, Production Technologies und Quantum Technologies, as well as to existing initiatives, such as Quantum Human-Machine-Interface (QHMI), Graduate School Intelligent Methods for Test and Reliability (GS-IMTR) or Simulation Technology (SimTech). Cooperation within the faculty is also encouraged.

The prospective professor is expected to contribute to teaching, in particular, within our degree programs and through introductory courses, both in German and English, in the Faculty's Bachelor's and Master's degree programs, e.g. with inter faculty courses in the area of Deep Learning as well as to actively solicit external funding and to participate in collaborative research projects at the university.

We are searching for a personality who should be distinguished by high-ranking scientific achievements with international visibility especially in Intelligent Signal Processing.

For a qualitative assessment of your academic accomplishments, we kindly ask you to submit a short description of your three most important scientific achievements, which should be no longer than one page in total. Possible accomplishments include, for example, those in the fields of research, teaching, science and society, knowledge and technology transfer, inventions and patents, software development, and spin-offs.

The requirements for employment listed in § 47 and § 50 Baden-Württemberg university law (LHG) apply.

Written applications, including CV, scans of diplomas, a short summary of scientific and teaching accomplishments, a structured list of publications, the candidate’s track record of successful research grants, and a short statement on current and planned research activities as well as copies of the certificates should be submitted online via https://berufungen.uni-stuttgart.de by May 17, 2026 addressed to the Vice Dean of the Faculty of Computer Science, Electrical Engineering and Information Technology, Prof. Krzysztof Rudion.

If you have any questions about this call for applications, please contact Prof. Stephan ten Brink, Institute of Telecommunications, e-mail: tenbrink@inue.uni-stuttgart.de

The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart: uni-stuttgart.de/dual-career-en

The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Disabled persons will be given preference in case of equal qualifications.

Information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: uni-stuttgart.de/en/privacy-notice/job-application.