- From: Wolfgang Nejdl <nejdl@kbs.uni-hannover.de>
- Date: Sat, 15 Jun 2002 01:55:32 +0200
- To: www-rdf-interest@w3.org
The Research Group KBS at L3S (Learning Lab Lower Saxony) seeks applicants for four Ph.D. and PostDoc Positions available in the context of three new projects starting in August/September 2002. The EU-IST funded project ELENA will design and implement learning spaces enhanced by Ambient Intelligence (see e.g. http://www.cordis.lu/ist/istag.htm). Central design principles of the ELENA infrastructure are dynamic learner profiles and heterogeneous learning services implemented on top of both peer-to-peer and server-based information networks (two positions). The project PADLR, an international research consortium with research groups from Germany (Hannover, Braunschweig, Karlsruhe), Sweden (Stockholm, Uppsala) and USA (Stanford University), funded by the Germany Ministry of Research (BMBF) and the Wallenberg Foundation, is investigating a variety of issues to implement personalized access to distributed learning repositories (see http://www.learninglab.de/english/projects/padlr.html), the newly opened position will focus on efficiently searching and maintaining distributed (peer-to-peer) information spaces using both conventional query languages enhanced to cope with semi-structured data and information retrieval methods (one position). ELAN-L3S, funded by the research ministry of Lower Saxony, is one of the core competency and support groups within the E-Learning Academic Network Niedersachsen (ELAN) and is responsible for research, evaluation and support in the area of learning and content management systems to be employed at L3S and the participating universities in Lower Saxony (one position). The prospective student or PostDoc is expected to hold a master's degree or equivalent degree (e.g. German diploma) in computer science or a Ph.D., respectively. The salary amounts to German BAT IIa or Ib (which is roughly 35.000 to 41.000 Euro gross income per year depending on age and marital status). Potential candidates may find more detailed information at http://www.learninglab.de/ or may contact and send their application by email to Prof. Wolfgang Nejdl Computer Science Department Stanford University (on leave from the University of Hannover) nejdl@db.stanford.edu or using standard mail service to Dr. Christoph Strutz Learning Lab Lower Saxony EXPO Plaza 1 30539 Hannover Germany
Received on Friday, 14 June 2002 19:58:21 UTC