12.128, Jobs: Document Categorization at Xerox, France

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LINGUIST List:  Vol-12-128. Sat Jan 20 2001. ISSN: 1068-4875.

Subject: 12.128, Jobs: Document Categorization at Xerox, France

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1)
Date:  Fri, 19 Jan 2001 14:51:50 +0100
From:  Nicola Cancedda <cancedda at xrce.xerox.com>
Subject:  Info Retrieval, Document Categorization at Xerox, Grenoble, France

-------------------------------- Message 1 -------------------------------

Date:  Fri, 19 Jan 2001 14:51:50 +0100
From:  Nicola Cancedda <cancedda at xrce.xerox.com>
Subject:  Info Retrieval, Document Categorization at Xerox, Grenoble, France


Rank of Job:
Areas Required: Document categorization/Machine Learning
Other Desired Areas:
University or Organization: Xerox Research Centre Europe
Department:
State or Province: Grenoble
Country: France
Final Date of Application:
Contact: Nicola Cancedda cancedda at xrce.xerox.com, Jimi Shanahan
shanahan at xrce.xerox.com

Address for Applications:

                 Mr. Christophe Mitenne
                 Human Resources
                 Xerox Research Centre Europe
                 6, chemin de Maupertuis
                 38240 MEYLAN, France


Position available - KerMIT Project

XRCE Grenoble Laboratory is a world leader in natural language,
distributed systems, and knowledge management research. It forms an
integral part of Xerox's research culture with sister laboratories in
Cambridge (UK) and Palo Alto (PARC, California).

Currently, the centre is seeking a highly motivated and qualified
researcher to play a pivotal role in the area of multilingual and
multimedia document categorization as part of the KerMIT EU project.

KerMIT (Kernel Methods for Image and Text classification, clustering,
ranking and filtering) concerns the development of algorithms and
software for the classification, clustering, ranking and filtering,
both in an online and offline setting, of digital documents. In
particular, the focus of this project investigates the use of kernel
methods (support vector machines and others) in processing
multilingual (French, English, Czech, Hungarian, German) and
multimedia documents (text+images). The project partners include:
Reuters Group Plc, Royal Holloway and Bedford New College (University
of London), Università degli Studi di Milano, the Hebrew University of
Jerusalem, and Università di Genova.

Candidates for this position should be energetic, highly motivated and
will be expected to hold a PhD degree or have equivalent academic or
industrial experience in information retrieval and/or machine
learning.  A good publication record in international conferences is
desirable.  Candidates must have good computational skills (we
currently use Java, Perl and C/C++) and must either have a fundamental
understanding of both text and image processing or be willing to
acquire these skills.  Proficiency in English is required and good
communication skills are a must.

XRCE offers excellent salaries and benefits (and relocation package),
excellent computing facilities and the opportunity to work in a
leading international research institute. The successful candidate
will be located in Grenoble (France), in the foothills of the Alps,
providing access to some of the best outdoors in the world (activities
in this region include: snowboarding, skiing, golfing, hiking,
kayaking, paragliding, rock climbing, fishing etc.). Please refer to
the XRCE webpages (http://www.xrce.xerox.com/) for further information
regarding this position and on our research centre.

The position is for a period of 18 months, possibly leading to a
permanent position and is available immediately.

Informal enquires regarding this position can be made to:
    Nicola Cancedda, Tel: +33-476-61-5159, cancedda at xrce.xerox.com
    James Shanahan, Tel: +33-476-61-5113, shanahan at xrce.xerox.com

Applications should consist of a resume and a recent journal or
conference paper and can be submitted preferably by email
(cancedda at xrce.xerox.com, mitenne at xrce.xerox.com and
shanahan at xrce.xerox.com) or by post to the following address:

                 Mr. Christophe Mitenne
                 Human Resources
                 Xerox Research Centre Europe
                 6, chemin de Maupertuis
                 38240 MEYLAN, France

mentioning the position reference number: MLTT 0101

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