[Comp-neuro] [jobs] Research Associate Intelligent Systems

Stefan Wermter wermter at informatik.uni-hamburg.de
Fri Nov 15 19:08:40 CET 2013

The Knowledge Technology Research Group at the
University of Hamburg invites applications for a

Research Associate in Intelligent Systems
(Knowledge Technology, Neural Networks, Intelligent Robotics)

from or after 1 March 2014. The position is
full-time (39 hours per week), for two years and is
at the 13 TV-L salary level. (doctoral or postdoctoral


Duties primarily include research and teaching. The
successful candidate will also have the opportunity
to pursue further academic qualifications, as
postdoctoral research or doctoral research. The
research area is Knowledge Technology and Artificial
Intelligence, in particular Hybrid Neural Systems.
We focus on basic fundamental research on neural and
learning systems. Applications include vision, natural
language processing, speech recognition and learning
cognitive robots. The post holder should further
develop and support the research of this area in the
context of European or collaborative projects and have
the potential to acquire third-party funding. Existing
or newly emerging research areas in our team should be
further developed. Furthermore, participation in some
teaching in computer science, in particular in the
area of Knowledge Technology is required as well as
general support in Knowledge Technology.


A postgraduate university degree in computer science
or a relevant field related to the above-mentioned
academic subject areas of Hybrid Neural Systems.

Experience in at least human-robot interaction (e.g.
speech recognition, gestures, robot navigation) or
machine learning (e.g. reinforcement learning,
supervised or unsupervised neural learning).

After the MSc either experience working in a company
or at least two years of research experience after
the MSc in a university environment.

Very good teamwork and communication skills, scientific
publication in English, proven experience with writing
large scientific documents in English.

Experience with large collaborative or European
research projects is an advantage.


The University intends to increase the number of women
in research and teaching and explicitly encourages
women to apply. Equally qualified female applicants
will receive preference in accordance with Hamburg’s
Higher Education Act (HmbHG). Severely disabled
applicants will receive preference over equally
qualified non-disabled applicants.

Applications should include a letter of application,
curriculum vitae, transcripts of courses, and copies
of degree certificate(s).The deadline for applications
is 15 December 2013. Please send applications to:
katja.koesters at informatik.uni-hamburg.de in a single
pdf document. For further information, please contact
Prof. Dr. Stefan Wermter via email or consult our website
http://www.informatik.uni-hamburg.de/WTM/ .

Professor Dr. Stefan Wermter
Chair of Knowledge Technology
Department of Computer Science, WTM, Building F
University of Hamburg
Vogt Koelln Str. 30
22527 Hamburg, Germany

Email: wermter AT informatik.uni-hamburg.de

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