PhD positions University Paris-12: XML high-performance

Discussion in 'XML' started by gaetan@hains.org, Oct 25, 2007.

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    Doctoral project and scholarship at the University of Paris-12
    ALGORITHMS FOR XML:
    LARGE DATA SETS, EXTERNAL MEMORY AND SCALABLE PERFORMANCE

    Innovimax
    Innovimax SARL. Consulting, Training & XML Development
    http://www.innovimax.fr
    LACL
    Laboratoire d'Algorithmique Complexité et Logique, Université de
    Paris-12
    http://www.univ-paris12.fr/lacl

    Innovimax is a startup company based in Paris and offering XML
    software solutions, consulting and training. Innovimax is member of
    W3C, ISO and AFNOR and is very active in these organizations on all
    questions related to XML standards and document verification. Its
    customers are: Éditions Francis Lefebvre, La direction des Journaux
    Officiels (government publications, under control of the French Prime
    Minister), OECD, PTC, etc. Innovimax is member of the Cap Digital
    cluster which federates Paris-region leaders in multimedia
    technologies. The company actively participates in international
    congresses and meetings.

    LACL is the University of Paris-12's Computer Science laboratory. LACL
    is ranked category « A » research unit by the French Ministry of
    Research. One LACL team conducts research on parallel computing and
    hosts PC clusters for its experiments and for the benefit of its
    industrial partners. This work has been rewarded by an EADS doctoral
    thesis prize, national and regional grants. Their techniques for
    scalable performance are applied to numerical simulation, machine
    learning, databases and automatic software verification. LACL is
    member of the System@tic cluster which federates Paris-region leaders
    in software R&D.

    To support Innovimax's development we wish to engage in a long-term
    research project concerned with algorithms for XML transformations.
    The project will follow 3 axes:

    1) XML sorting and grouping: to find efficient classes of algorithms
    for very large number of files and/or very large files, taking into
    account various constraints like infinite files (logs) or bi-
    directional file access (FileSystem). Consideration may be given to
    approximate sorting/grouping to minimize costs.
    2) Query algorithms: to combine various improvement factors on XML
    queries depending on complexity and reuse. Combinations of the
    following are possible: a priori optimization oblivious to document
    structure, document model-based rewriting or optimization, document
    transformations to improve specific query types. Efficiency thresholds
    and hybrid solutions can be designed.
    3) Bi-directional processing: XML files can in principle be read in
    both directions and this opens the door to optimal processing on large
    data sets with BabyStep/GiantStep techniques. Such work can also be
    coupled with document projections i.e. design select-by-need temporary
    structures.

    We seek a qualified Masters-level C.Sc / C.Eng graduate to conduct
    this project under joint supervision, leading to a doctorate at the
    University of Paris-12 - soon to merge into the new Paris-Est
    University.

    CONTRACT: The new student will be hired according to the clauses of a
    CIFRE contract and register with the Paris-12 SIMME doctoral school.
    Contract and doctoral studies duration of 3 years from January 2008.
    Necessary resources will be provided by Innovimax-LACL and results
    published in international conferences.

    Applications: Applicants should send by November 15, 2007 a detailed
    CV, MSc-level degree and any other relevant documents. Knowledge of
    French not required but language courses will be made available.
    Training and experience related to algorithm design and XML structures
    will be an asset.

    Mohamed Zergaoui
    President of Innovimax

    Gaétan Hains
    Director of LACL
    , Oct 25, 2007
    #1
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