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Full Professorship (W3) for Machine Learning

The Faculty of Engineering of the University of Freiburg invites applications for a

Full Professorship (W3) for Machine Learning

(Nachfolge Prof. Dr. Martin Riedmiller)

in the Computer Science Department to be filled as soon as possible.

The professorship should cover machine learning in research and teaching. The future professor must have an excellent scientific background in machine learning and one of the following application areas:

  • Natural language processing
  • Neural networks
  • Big data analysis
  • Deep Learning
  • Robotics
  • Computer vision
  • Machine learning in the life sciences

The appointed person should foster collaborative research with other research groups at the university. A close cooperation with the application areas of machine learning at the Faculty of Engineering and in neuroscience is very much desired. Moreover, a committed participation in the cluster of excellence BrainLinks-BrainTools is expected.

The professorship is involved in the bachelor and master programs in computer science. Courses should be open also for students of embedded systems engineering as appropriate.

Prerequisites for the employment of Professors are a university degree, an outstanding dissertation and an excellent publication record. Substantial achievements and experience in academic research and teaching,at the level of a Habilitation according to the German academic system, are expected.

The University of Freiburg seeks to increase the number of female scientific faculty members and therefore strongly encourages qualified women to apply for the position. The university is committed to providing a family-friendly workplace.

Applicants with disabilities (Schwerbehinderte) will be given preferential consideration in case of equal qualification.

The following application documents are to be submitted:

  • Curriculum vitae                                    
  • Certificates of degrees and academic qualifications as well as references
  • Complete list of papers and invited lectures specifying the 3 most important publications
  • Research and project work and synopsis of future research vision
  • Teaching portfolio (the required form can be downloaded under http://www.zuv.unifreiburg.

de/formulare/lehrkompetenzportfolio-formblatt.doc.)

In addition, we require the completed application form provided at http://www.zuv.unifreiburg.de/formulare/bewerbungsbogen_englisch.pdf. Submit this form together with the above-mentioned supporting documents by Dec 11, 2015 at the latest.

Please send your application to the following address:

Dean, Faculty of Engineering, University of Freiburg, Georges-Koehler-Allee 101, 79110 Freiburg, Germany

Please also send an additional electronic version of your application (in a single PDF file) to dekanat@tf.uni-freiburg.de

Further information on the appointment procedure can be found in the Code for Practice for professorial appointments, available under

http://www.zuv.uni-freiburg.de/formulare/berufungsleitfaden-en.pdf.

Contact person (faculty)
  Prof. Dr. Hannh Bast
Tel. 203-8163,  bast@informatik.uni-freiburg.de
Contact person (Office for Committees and Appointments)
 Tel. 0761 203 --4374,  falk@zv.uni-freiburg.de
Date(s) of lectures open to university members
 February 29, March1, March 2, 2016
Date of final session of appointment committee

 June 27, 2016

Date recommendation of appointment committee was approved in the Senate
 September 28, 2016
Date appointment was offered
 October 20, 2016
Acceptance of appointment (date and name)

 August 14, 2017  Dr. Frank Hutter

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