- From: Bruno Cremilleux <Bruno.Cremilleux@info.unicaen.fr>
- Date: Tue, 26 Apr 2005 19:31:13 +0200
- To: editor@kdnuggets.com, Mlnet@ais.fraunhofer.de, kaw@science.uva.nl, kdnet-members@ais.fraunhofer.de
- Cc: Lucas Nadine <Nadine.Lucas@info.unicaen.fr>
- Message-Id: <20050426193113.41e9a03b.Bruno.Cremilleux@info.unicaen.fr>
Dear all, I would be very grateful if you can send on your lists the following post-doctoral position (see below) in Computer Science, Linguistic and Natural Language Processing which is opened at the GREYC laboratory (Caen, France). Best regards, Bruno Crémilleux ************************************************************************* Postdoctoral Position in Computer Science, Linguistic and Natural Language Processing: Using text resources for data mining Research Unit: Groupe de REcherche en Informatique, Image, Automatique et Instrumentation de Caen (GREYC) http://www.greyc.unicaen.fr/ Location: Caen, Normandy, France This post-doc position is linked to the Bingo project which joins three computer scientists teams (EURISE, EA 3721, Université de St-Etienne, GREYC - CNRS UMR 6072, Université de Caen and LIRIS - CNRS UMR 5205, INSA de Lyon) and a team of biologists (CGMC - CNRS UMR 5534, Université de Lyon 1). The Bingo project (Bases de données INductives et GénOmique in French - Genomics and Inductive Database in English, see http://www.info.unicaen.fr/~bruno/bingo/) focuses on several open problems, one of which is the use of text resources during the pattern post-processing stage, in order to make better use of domain knowledge during the knowledge discovery stage. This problem requires a close cooperation between linguistic knowledge and methods from knowledge discovery in databases. The aim of the work of this post-doc position is to use texts and ontologies in order to support the knowledge discovery phase (i.e., when post-processing patterns) in order to present relevant knowledge for the needs of the experts. Indeed, KDD processes tend to produce a lot of patterns which are - a priori - interesting. The validation of the extracted information is a hard task and requires the background knowledge on the domain at hands. The background knowledge is partially embedded in the literature. The key idea is to help the validation step by using ontologies (cf. http://www.geneontology.org/) and textual resources (e.g., Medline). For instance, in the context of the genomic data, starting from a pattern which may be a synexpression group, the biologist would like to retrieve the texts which deal with this particular topic, which biological situations are concerned, and so on. Several work directions are proposed (e.g., text-reader profiling, text analysis, define constraints coming from text resources), see http://www.info.unicaen.fr/~bruno/bingo/pages/menu_evenements.php This post-doctoral position is supported by the CNRS, see also http://www.k-projects.com/cnrs_postdocs_2005/public/departement.php?Dep=INT&IdDpt=12 Sought profile of the candidate Ph D in Computer Science with interest in liguistics or natural language processing. A significant experience in knowledge discovery in databases or linguistics would be highly appreciated. Speaking French is not required. Duration of the fellowship (months): 12 (starting from September 1st, 2005) Gross salary : 25,800 Euro per annum Deadline for application : May 16th, 2005 Contact: Bruno Crémilleux +33 2 31 56 74 35 Bruno.Cremilleux@info.unicaen.fr Nadine Lucas +33 2 31 56 73 36 Nadine.Lucas@info.unicaen.fr GREYC - CNRS UMR 6072, Université de Caen, Campus Côte de Nacre F-14032 Caen Cedex - France -- GREYC - CNRS UMR 6072 - Universite de Caen Departement informatique, Campus Cote de Nacre, F-14032 Caen Cedex Tel: +33 (0)2.31.56.74.35 - Fax: +33 (0)2.31.56.73.30 e.mail: Bruno.Cremilleux@info.unicaen.fr www: http://www.info.unicaen.fr/~bruno/
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Received on Wednesday, 27 April 2005 05:14:30 UTC