Corpora: Job: Document Categorization at XRCE Grenoble

From: Nicola Cancedda (cancedda@xrce.xerox.com)
Date: Fri Jan 26 2001 - 11:33:25 MET

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    Areas Required: Document categorization/Machine Learning
    Other Desired Areas:
    University or Organization: Xerox Research Centre Europe
    State or Province: Grenoble
    Country: France
    Final Date of Application: rolling
    Contact: Nicola Cancedda cancedda@xrce.xerox.com, Jimi Shanahan
    shanahan@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@xrce.xerox.com
        James Shanahan, Tel: +33-476-61-5113, shanahan@xrce.xerox.com

    Applications should consist of a resume and a recent journal or
    conference paper and can be submitted preferably by email
    (cancedda@xrce.xerox.com, mitenne@xrce.xerox.com and
    shanahan@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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