Connectionists: [jobs] Knowledge Technology for Intelligent Neural Systems

[Wermter, Stefan]

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 
(wermter at 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 
(katja.koesters at 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.

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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/
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