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<br>
Please forward to possibly interested postdocs or PhD candidates:
<br>
<br>
------------------------------------------------------------
<br>
University of Hamburg, Computer Science, Knowledge Technology
<br>
<br>
<br>
We are looking for candidates for three job openings in
<br>
the area of knowledge technology and intelligent systems, in
<br>
particular:
<br>
<br>
<br>
1) Scientific Associate (preferably Postdoc or PhD candidate) for
<br>
International Master Computer Science and Intelligent Systems
<br>
<br>
2) PhD student Neural Multimodal Integration
<br>
<br>
3) PhD student Neural Sound Localisation for Speech Processing
<br>
<br>
------------------------------------------------------------
<br>
<br>
Scientific Associate (preferably Postdoc or PhD candidate for
<br>
International Master Computer Science and Intelligent Systems)
<br>
<br>
<br>
The Knowledge Technology Group has an open position for a
<br>
Scientific Associate (Postdoc or PhD candidate) in the context
<br>
of an International Master Computer Science and Intelligent
Systems,
<br>
salary group 13 TV-L (equivalent to Verg.Gr. IIa BAT).
<br>
<br>
<br>
Responsibilities:
<br>
The duties include academic service in the area of new MSc
<br>
programme development as well as research in intelligent systems.
<br>
The successful candidate will - within a team - develop and manage
<br>
a new international Master Programme in Computer Science and
<br>
Intelligent Systems as well as contribute to its teaching.
<br>
Furthermore, the candidate is expected to conduct research in the
<br>
area of Knowledge Technology and Intelligent Systems. This post is
<br>
open to Postdocs or PhD candidates. PhD candidates have the
<br>
opportunity to advance their academic education through the
<br>
completion of a doctoral dissertation.
<br>
<br>
<br>
Requirements:
<br>
Academic degree preferably in computer science qualifying the
<br>
holder to carry out the above-mentioned responsibilities. In
<br>
particular, an MSc or PhD in Artificial Intelligence or Computer
<br>
Science is essential. Your demonstrated research interests should
<br>
be in the areas of Knowledge Technology and Intelligent Systems
<br>
(e.g. Machine Learning, Neural Networks, Robotics, Natural
Language
<br>
Processing, Vision, or Knowledge Representation etc). We are also
<br>
looking for very good communication skills and teamwork, in
<br>
particular a very good command of both German and English is a
<br>
requirement. Experience or a keen interest in developing a new MSc
<br>
programme and very good programming skills are a plus.
<br>
<br>
<br>
The position is fulltime (39 hours per week). The initial
<br>
contract will be for two years and can be extended
<br>
for an additional three years (see also § 2 of the Academic
<br>
Fixed-Term Contract Law (Wissenschaftszeitvertragsgesetz)).
<br>
<br>
<br>
The university intends to increase the number of women amongst
<br>
its academic personnel and encourages qualified women to apply. In
<br>
compliance with the Hamburg Equal Opportunity Law, if applicants
<br>
are equally qualified, preference will be given to qualified
<br>
female applicants or qualified disabled applicants.
<br>
<br>
<br>
For queries or more information please contact Prof. Dr. Stefan
<br>
Wermter, Head of Knowledge Technology or see
<br>
<a class="moz-txt-link-freetext"
href="http://www.informatik.uni-hamburg.de/WTM/">http://www.informatik.uni-hamburg.de/WTM/</a>
. Application dossiers
<br>
(application letter, curriculum vitae, degree certificate(s),
etc.)
<br>
are to be submitted electronically in a single pdf file to
<br>
wermter at informatik.uni-hamburg.de before 28.2.2011. The
<br>
applications will be accepted until the position is filled.
<br>
<br>
-----------------------------------------------------------------
<br>
<br>
2 PhD Studentships
<br>
<br>
Neural Multimodal Integration &
<br>
Neural Speech Localisation)
<br>
<br>
<br>
The Knowledge Technology Research Group is looking to fill two
<br>
fulltime PhD studentships funded by the DFG in the context of the
<br>
International Research Training Group CINACS
<br>
( <a class="moz-txt-link-freetext" href="http://www.cinacs.org/">http://www.cinacs.org/</a>
) . The project offers a 3-year doctoral
<br>
programme based at the University of Hamburg and at Tsinghua
<br>
University, Beijing. The dissertation projects will be carried
out
<br>
at the University of Hamburg. A part of the studies (a few
months)
<br>
can be performed at Tsinghua University. The interdisciplinary
<br>
programme provides exciting research opportunities in
multisensory
<br>
perception and cross-modal information processing.
<br>
<br>
<br>
Responsibilities:
<br>
The candidate is expected to conduct research in the area of
<br>
Knowledge Technology and Neural Network Robotics. In these two
<br>
subprojects we are particularly focused on working towards
<br>
a) neural multimodal integration based on the superior colliculus
<br>
and b) neural sound localisation for speech processing based on
the
<br>
inferior colliculus. We use an attractive humanoid robot scenario
<br>
where humanoid robots interact with humans based on multimodal
<br>
information. This includes the integration of an ambient
environment
<br>
with new cognitive humanoid robots.
<br>
<br>
<br>
Requirements:
<br>
Academic degree preferably in computer science or related
qualifying
<br>
the holder to carry out the above-mentioned responsibilities. In
<br>
particular, an MSc or equivalent in computer science, artificial
<br>
intelligence, robotics, engineering or equivalent is essential.
<br>
Knowledge of artificial intelligence, neural networks or robotics
<br>
and an interest to work in an interdisciplinary environment will
be
<br>
important. The post involves international travel. We are looking
<br>
for excellent programming skills, e.g. in C++, C, Python, Java
etc.
<br>
We are also looking for very good communication skills and
teamwork,
<br>
including very good knowledge of English. Knowledge of German
would
<br>
be desirable. The PhD stipend is for three years (2 plus 1) in
<br>
fulltime mode.
<br>
<br>
<br>
The university intends to increase the number of women amongst its
<br>
academic personnel and encourages qualified women to apply. In
<br>
compliance with the Hamburg Equal Opportunity Law, if applicants
<br>
are equally qualified, preference will be given to qualified
female
<br>
applicants or qualified disabled applicants.
<br>
<br>
<br>
For queries or more information please contact Prof. Dr. Stefan
<br>
Wermter, Head of Knowledge Technology or see
<br>
<a class="moz-txt-link-freetext"
href="http://www.informatik.uni-hamburg.de/WTM/">http://www.informatik.uni-hamburg.de/WTM/</a>
. Application dossiers
<br>
(application letter, curriculum vitae, degree certificate(s),
etc.)
<br>
are to be submitted electronically in a single pdf file to
<br>
wermter at informatik.uni-hamburg.de and will be accepted until
the
<br>
positions are filled.
<br>
<br>
<br>
Further information can be obtained at:
<br>
<a class="moz-txt-link-freetext"
href="http://www.informatik.uni-hamburg.de/WTM/">http://www.informatik.uni-hamburg.de/WTM/</a>
<br>
<a class="moz-txt-link-freetext"
href="http://www.informatik.uni-hamburg.de/WTM/jobs.shtml">http://www.informatik.uni-hamburg.de/WTM/jobs.shtml</a>
<br>
<br>
Applicants should clearly state for which position they apply.
<br>
<br>
<br>
<br>
***********************************************
<br>
Professor Dr. Stefan Wermter
<br>
Head of Knowledge Technology
<br>
Department of Computer Science, WTM, Building F
<br>
University of Hamburg
<br>
Vogt Koelln Str. 30
<br>
22527 Hamburg, Germany
<br>
<br>
Secretary: +49 40 42883 2433
<br>
Phone: +49 40 42883 2434
<br>
Fax : +49 40 42883 2515
<br>
Email: Wermter at informatik.uni-hamburg.de
<br>
<a class="moz-txt-link-freetext"
href="http://www.informatik.uni-hamburg.de/%7Ewermter/">http://www.informatik.uni-hamburg.de/~wermter/</a>
<br>
<a class="moz-txt-link-freetext"
href="http://www.informatik.uni-hamburg.de/WTM/">http://www.informatik.uni-hamburg.de/WTM/</a>
<br>
***********************************************
<br>
<br>
<br>
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