[Infovis] job announcement: visual and algorithmic analysis of movement and event data

Andrienko gennady.andrienko at iais.fraunhofer.de
Wed Dec 3 14:11:51 CET 2008

Dear colleagues,

Please find below a job announcement within our new project on
analysis of movement data funded by DFG - German Research Foundation
- a cooperation project with Univ. Bonn (Prof. S.Wrobel) and
Univ. Constance (Prof. D.Keim)

If you are interested in the position, but need any further
clarifications, please do not hesitate to contact me.

I would appreciate if you could also, please, forward this message on to
other colleagues in the geovisualisation and visual analytics communities
or your students who might be interested in joining our group here in
Bonn / Sankt Augustin.

Thanks in advance.

Best regards,
  Dr. Gennady Andrienko
Fraunhofer Institute IAIS: http://www.iais.fraunhofer.de
ICA GeoVisualization Commission: http://geoanalytics.net/ica
Andrienko's homepage: http://geoanalytics.net/and

The Computer Science Department (Informatik III) of the University of
Bonn, Germany, invites applications for the following position

Researcher (Wissenschaftlicher Mitarbeiter) 
-       visual and algorithmic analysis of movement and event data –

The position is part of the Knowledge Discovery and Machine Learning
research group, which focuses on the subfields of computer science
known as knowledge discovery in databases (KDD, sometimes referred to
simply as data mining) and machine learning (ML). For us, these fields
include on the one hand the automated and visually explorative
analysis of large data sets including intelligent algorithms that are
capable of extracting from the collected data hidden knowledge in
order to produce models that can be used for prediction and decision
making. On the other hand, they also include algorithms and methods
that are capable of learning from experience and adapting to their
environment or their users.

The candidate would specifically elaborate and develop scalable visual
and algorithmic methods for the analysis of spatiotemporal data, which
involve a high complexity of geographical space, time, and
multidimensional non-spatial attributes.

The candidate has completed a Diplom or Master degree in Computer
Science, Mathematics or Geoinformatics and has proven capabilities in
Software Engineering and mathematical modelling. Knowledge of Data
Mining, Information Visualization, Geographical Information Systems
and practical handling of spatiotemporal data is an advantage. The
candidate should be fluent in English and have good writing skills.
For non-German speakers learning of the German language should be

The position is available for a period of 3 years with the possibility
of extension depending on funding. Anticipated start date is early
2009. Salary is according to EG 13, TV-L.

The University of Bonn is an equal opportunities employer. Preference
will be given to suitably qualified women or handicapped people, all
other conditions being equal.

Applicants are expected to submit a cover letter, CV, and certificates
of high school and university diploma.

Applications should be sent to:

Professor Dr. Stefan Wrobel
Knowledge Discovery and Machine Learning Research Group
Computer Science Department
53117 Bonn

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