[Corpora-List] Postdoc - University College Dublin (Ireland): Machine learning, information extraction/retrieval

From: Nicholas Kushmerick (nick@ucd.ie)
Date: Mon Dec 08 2003 - 14:42:30 MET

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    * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
    * POST-DOC * University College Dublin (Ireland) *
    * Machine Learning, Information Extraction & Retrieval *
    * * * * * * * * * * * * * * * * * * * * * * * * * * * * *

    The Adaptive Information Access research group at University College Dublin
    is recruiting a Post-Doctoral Researcher, to start in March 2004.

    As part of a research team comprising about 10 researchers, you will plan
    and execute cutting-edge research activities related to next-generation
    intelligent information services. The particular research focus will be
    tailored to your interests and expertise, but will involve the use of
    machine learning techniques to solving problems related to information
    access/retrieval and text/knowledge management.

    You'll have recently completed your Ph.D. in Computer Science, with research
    expertise in one (and ideally several) of the following: machine learning,
    information extraction, natural language processing, and information
    retrieval. In addition to relevant research expertise, the ideal candidate
    will have excellent writing, software development and self-management
    skills.

    Our research is funded by large long-term research grants from Science
    Foundation Ireland and the US Office of Naval Research.

    For more information, please see
      www.cs.ucd.ie/staff/nick/home/research/recruitpd.html
    To apply, email <nick@ucd.ie> a detailed CV, 2-4 recent research
    publications, and contact details for two references. Closing date: 16
    January 2004.

    regards,

    -- Nick

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + Nicholas Kushmerick +
    + Computer Science Department / University College Dublin +
    + nick@ucd.ie / www.cs.ucd.ie/staff/nick/home +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +



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