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Junior Professor (W1) for Information Fusion for Automated Driving

Ulm University

Ulm, Baden-Wurttemberg 89081
Job Code:
index number 52
Job Type:
  • Computer Engineering
  • Computer Programming/Systems
Ulm University
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Job Details

The Faculty of Engineering, Computer Science and Psychology at Ulm University, Germany, invites applications for a non-tenure-track faculty position as

Junior Professor (W1) for Information Fusion for Automated Driving

at the earliest possible date. The professorship is donated by the Daimler-Fonds im Stifterverband für die Deutsche Wissenschaft, Germany.

The research focus of the junior professorship should lie in the range of information fusion with applications to automated driving. This includes in particular the research and development of theoretical foundations and methods for modern information fusion, e.g., with the use of machine learning techniques, and suitable algorithms for implementation of these methods on real hardware / software platforms. These topics allow a close collaboration within the Innovation Center driveU established by the Daimler AG at Ulm University and the Research Center for cooperative, highly automated driver assistance systems and driving functions (F3).

The successful candidate is expected to supervise graduate students, teach graduate courses in German and English language. The candidate should possess proved educational skills which can be demonstrated by didactic training and / or teaching evaluations. A participation in self-administration issues is expected.

Applicants have to hold a doctoral degree in Electrical Engineering, Informatics, or a related discipline awarded by a university. The outstanding quality of realized research in the topics of the professorship and the doctoral degree should be supported by publications, especially in international peer-reviewed journals. Experience in acquiring research funding and teaching is preferred.

The position is available for 3 years and can be extended up to 6 years after passing an intermediate evaluation.

Ulm University is committed to increase the share of women in research and teaching positions and therefore explicitly encourages female candidates to apply.
Physically disabled applicants receive a favorable consideration when equally qualified.

Applications with the common documents (CV, certificates and transcripts, list of publications, research concept, etc.) should be submitted in printed and in electronic (within a single PDF file) form by May 15th, 2018 to the Dean of the Faculty of Engineering, Computer Science and Psychology, Prof. Dr. Frank Kargl, Albert-Einstein-Allee 39, 89081 Ulm (e-Mail: Please indicate the index number 52.