[Corpora-List] Job opening: Engineering Research Associate, Stanford NLP Group

From: Christopher Manning (manning@cs.stanford.edu)
Date: Tue Dec 05 2006 - 02:20:29 MET

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    Engineering Research Associate, Stanford Natural Language Processing Group

    The Stanford NLP Group seeks a research associate to define and carry out
    research in the area of broad-domain textual learning, understanding and
    inference. Topics of particular interest include learning word and phrase
    meanings and world knowledge from texts; robust interpretation of and
    inference over event relationships, statements, and questions; and
    development of natural language analysis components required for these
    tasks. Candidates should be familiar with various aspects of machine
    learning applied to NLP and work in natural language understanding. The
    Stanford NLP Group is a fun, collaborative group providing many
    opportunities for hands-on research and teamwork. See
    http://nlp.stanford.edu/. The Stanford NLP Group values having a diverse mix
    of people and is committed to equal opportunity in employment; we are always
    pleased to identify anyone with great qualifications. This is initially a 2
    year position, with possibilities for extension, depending on continued funding.
    Required Qualifications:

    An earned Ph.D. in Computer Science or a relevant field. Candidates for the
    position must be able to formulate, direct, and carry out innovative
    research within the fields of textual learning, understanding, and
    inference; to work effectively with students and other project members; and
    to discuss, communicate, and present project ideas and results, both
    internally and externally.

    Please apply online at http://hrweb.stanford.edu/jobs/find_a_job.html using
    job number 23179 (enter the number into "keyword search"). Or send resumes to:
    Laura Kenny-Carlson
    Computer Science Department
    Gates 278, 353 Serra Mall
    Stanford University
    Stanford, CA 94305.

    Fax (650) 725-7411.



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