Siemens – DAAD Post Graduate Fellowships 2010

Siemens AG
Corporate Technology
CTO Uni
Otto-Hahn-Ring 6
81739 München
www.siemens.de
Siemens
Technology Field
Research Area:
Research Topic:
Project:
DAAD
Deutscher Akademischer
Austausch Dienst
German Academic Exchange Service
Kennedyallee 50 – D-53175 Bonn
Telephone: +49 (0)228 882-623
Telefax: +49 (0)228 882 9623
E-mail: roehlen@daad.de
Internet: www.daad.de
Siemens – DAAD Post Graduate Fellowships 2010
Fellowship – No 4
Field Autonomous Systems
Large-scale processing, retrieval and complex analysis of medical and industrial
information
Scalable reasoning methods for large-scale processing, retrieval and analysis of
distributed, heterogeneous data.
In the context of medical and industrial applications, data sources provide
terabytes of structured (e.g. from databases or sensor systems) as well as
unstructured (e.g. text sources) information that must be processed in an
integrated and timely manner. Goal of the thesis is the development of highly
efficient and scalable reasoning methods for large scale processing, retrieval
and analysis. The methods will be implemented and evaluated in the context of
managing huge amounts of distributed, heterogeneous medical patient data and
industrial production and logistics data.
Host Institution: Karlsruhe Institute of Technology, Institute of Applied Informatics and Formal
Description Methods (AIFB)
Required
Qualifications:
Advantageous
Skills:
Contact:
Database Technologies, Software Engineering, English
Large-scale reasoning techniques, approximate processing techniques,
information retrieval, programming skills
Prof. Dr. Rudi Studer (rudi.studer@kit.edu);
Tran Thanh (duc.tran@kit.edu)
Contact at Siemens: Dr. Steffen Lamparter (steffen.lamparter@siemens.com);
Michael Pirker (michael.pirker@siemems.com)
Further Information: www.daad.de; www.aifb.uni-karlsruhe.de/WBS; www.siemens.com
SIEMENS – DAAD-Post Graduate Fellowships 2010 Current Offer Page 1