(W1 without tenure track)
Materials Testing Institute and Institute of Construction Materials | at the earliest convenience
The University of Stuttgart is a leading technical university in Germany and located in one of Europe’s most important high-tech and industrial regions. The university is a reliable employer, partner for technology transfer and is committed to the interdisciplinary integration of engineering, natural sciences, humanities and social sciences on a foundation of top-flight disciplinary research.
The task of the junior professorship is to investigate digital methods based on machine learning and computer vision for the sensory detection of material properties and the application behavior of building materials—with a focus on concrete—and to develop methods for the automated control of these properties. The professorship is thus intended to make an important contribution to the development and practical implementation of the digital construction site. This requires both experimental investigations and AI-based analyses.
Applicants are expected to have an outstanding doctorate, research experience in at least one of the following research areas or related fields, and the ability to collaborate across disciplines. The ability, experience, and willingness to independently apply for and lead basic or applied research projects are desirable. Participation in academic self-administration is also expected.
Possible research areas include:
Computer vision-based methods for determining building material properties such as chemical or granulometric parameters, rheological parameters, and mechanical properties;
Data-driven prediction of building material properties, especially mineral building materials;
Data-driven and model-supported control methods for regulating building material properties.
The other professorships at the Institute of Construction Materials and the experimental facilities at the Materials Testing Institute offer opportunities for joint innovative research on interdisciplinary topics.
The appointed person represents the subject area in the faculty's German- and English-language degree programs and in other degree programs in which the faculty is involved.
We are looking for a personality who has a proven track record of promising scientific publications and/or comparable achievements with international visibility or who shows the potential to do so.
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. Conceivable successes are, for example, those in the fields of research, teaching, science and society, knowledge and technology transfer, inventions and patents, software development or spin-offs.
The requirements for employment listed in § 51 Baden-Württemberg university law (LHG) apply.
Written applications (including the above mentioned description, up to 3 publications, and, if available, a list and short description of third-party funds acquired, of actual and former projects and of the teaching experience, including the most important teaching surveys) should be sent in electronic form no later than February 13, 2026 to the Appointment Committee, Bewerbung@f02.uni-stuttgart.de, preferably as a single PDF file. Please be aware of the risks regarding confidentiality and the integrity of your application contents when sending your application via unencrypted email. Alternatively, postal applications to University of Stuttgart, Faculty 2: Civil and Environmental Engineering, Pfaffenwaldring 7, D-70569 Stuttgart are also accepted. Please address any questions regarding the current appointment process to the head of the Appointment Committee, Dean Prof. Hofmann, or to the Faculty’s office (+49 711 685-60076, Bewerbung@f02.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/en/university/employer/dualcareer.
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.
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