The Department of Informatics, Knowledge Technology Institute invites applications for a

RESEARCH ASSOCIATE Knowledge Technology for Intelligent Systems - SALARY LEVEL 13 TV-L -

As a University of Excellence, the University of Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally. The position in accordance with Section 28 subsection 1 of the Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) commences on 1  March  2020  or  as  soon  as possible.

This is a fixed term contract in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The initial fixed term is three years. The position calls for 100% of standard work hours per week.

Responsibilities: Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate´s own academic work.

Specific Duties: The successful candidate will contribute to teaching related to the Knowledge Technology Institute (4hrs/teaching week), in particular to Data-driven Intelligent Systems, but also to Research Methods or Bio-inspired Artificial Intelligence. Furthermore, the candidate is expected to conduct research in the area of Knowledge Technology and Intelligent Systems, in particular Neural Networks and Human-Robot Interaction. PhD candidates have the opportunity to advance their academic education through the completion of a doctoral dissertation.

Requirements: A university degree in a relevant field. Academic degree in computer science qualifying the post holder to carry out the above-mentioned duties. In particular, an MSc or equivalent in the area of Intelligent Systems is desired. Your demonstrated research interests should be in the areas of Knowledge Technology and Intelligent Systems (e.g. Neural Networks, Intelligent Robotics, Natural Language Processing, Vision, or Hybrid Knowledge Representation etc). Publication experience is desirable. We are looking for very good communication skills and evidence for teamwork.

A very good command of both German and English is a requirement for teaching and research.

The Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job category at Universit„t Hamburg according to the evaluation conducted under the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HambGleiG), we encourage women to apply for this position. Equally qualified and suitable female applicants will receive preference.

Qualified disabled candidates or applicants with equivalent status receive preference in the application process.

For further information, please contact Prof. Dr. Stefan Wermter (w*****r@informatik.uni-hamburg.de) or consult our website at https://www.informatik.uni-hamburg.de/wtm/.

Applications should include a cover letter, a tabular curriculum vitae, language certificates German and English, and copies of degree certificate(s).  Please send applications by 15 February 2020 or before the position gets filled to: Ms Katja Koesters (k************s@informatik.uni-hamburg.de) in a single pdf document .

Please do not submit original documents as we are not able to return them. Any documents sub-mitted will be destroyed after the application process has concluded.

*********************************************** Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany

Email: wermter AT informatik.uni-hamburg.de https://www.informatik.uni-hamburg.de/WTM/ ***********************************************