The chair of Artificial Intelligence at the University of Mannheim offers a
PhD / Postdoc Position
in a national research project on Ontology and Process Matching. The
initial duration of the position is 2 years with a possible extension to
3-5 years. Salary is according to the German Salary Scale for
researchers (level E13) and ranges between 3200,- and 4.600,- Euro
before taxes depending on qualification.
Candidates should have a Master or Diploma degree in Computer Science or
related disciplines with a good or preferably very good result, be
fluent in English and have solid programming skills in JAVA or other
high level languages. Candidates for a Post-Doc Position are also
expected to have international publications at A level conferences in
the field of Artificial Intelligence or Semantic Web Technologies. All
candidates should have proven skills in at least one of the following areas:
- Knowledge Representation and Reasoning
- Probabilistic Graphical Models
- Natural Language Processing
- Combinatorial Optimization
The Chair of Artificial Intelligence is part of the Data- and Web
Science Group, one of the leading research Groups on semantic Data
Analysis in Germany with currently 4 Professors 5 Postdoctoral
researchers and more than 20 PhD Students. We offer excellent
infrastructure and an inspiring collaborative research environment with
a clear focus on performing research on an internationally recognized
level. More information about the Data- and Web Science group
(http://dws.informatik.uni-mannheim.de) and the Chair of Artificial
Intelligence
(http://dws.informatik.uni-mannheim.de/en/research/artificial-intelligence-prof-stuckenschmidt/)
can be found on the Web.
Applications and inquiries for further information should be send to
Prof. Dr. Heiner Stuckenschmidt ([email protected]). We
consider applications that arrive before September 15th 2014.
--
Prof. Dr. Heiner Stuckenschmidt
Data- and Web Science Research Group
University of Mannheim
B6, 26 28159 Mannheim
http://dws.informatik.uni-mannheim.de
Tel.: +49 621 181 2530
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