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Full Professorship (W3) for Machine Learning / Deep Learning
Published(1067 days ago)
Deadline for applications(1028 days ago)
The Computer Science Department of the Faculty of Science at Tübingen University, Germany, invites applications for
the position of
Full Professor (W3) for Machine Learning / Deep Learning
funded by Robert Bosch GmbH
The Department of Computer Science seeks applications from outstanding individuals who have a proven international
record of excellent research in the area of Machine Learning, in particular in one of the following topics:
Machine Learning Methods, especially Deep Learning
Inference Algorithms for Machine Learning
The professorship is sought to shape the research in the new Cyber Valley Initiative Baden- Württemberg. Cooperation
with the Max Planck Institute for Intelligent Systems as well as participation in research projects with industry and public
funded projects are expected. A successful candidate for this position will strengthen the education of students in computer
science and computer science related fields of study. Teaching load might be reduced for the time of the funding. The
willingness to participate in the self-administration of the faculty is preconditioned.
Requirement for appointment are: Professorship status or an equivalent qualification as well as a documented didactic
Tübingen University is particularly interested in applications from female candidates for this position and therefore strongly
urges women to apply.
Applications from disabled candidates will be given preference if the qualifications of these candidates are identical to
those of a non-disabled candidate.
Applications with the usual documents (Curriculum Vitae, list of publications and teaching experience, overview of
research covered and visions of future research and the completed application form for a professorship at http://www.uni-tuebingen.de/en/faculties/faculty-of-science/faculty/service.html) should be sent by
e-mail to: Dean of the Faculty of Science, Prof. Dr. Wolfgang Rosenstiel email@example.com.
The closing date for applications is November 21, 2016.
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