Connectionists: Post-doc position at XRCE, Grenoble

[Nicola Cancedda]

Position: postdoc researcher, 18 months contract


The Learning and Content Analysis (LCA) group of the Xerox Research
Centre Europe (XRCE) is developing data mining technologies, some of
which have been delivered to and are now being used by several Xerox
business groups, including text clustering and categorization, in
both monolingual and multilingual settings. LCA currently focuses on
developing new solutions for:

     1. Multilingual applications: multilingual lexicon extraction,
     cross-language information retrieval, inference of machine
     translation systems from multilingual corpora

     2. Image & text mining: categorization, clustering and retrieval
     of text and image data (this project is conducted in
     collaboration with the Image Processing group of XRCE)

     3. Device mining, where devices are considered either in
     isolation or connected via a network. This activity aims, among
     other things, at building systems for diagnosing devices, for
     preventive maintenance, for monitoring the evolution of devices
     over time, and for issuing early warnings of failure.

XRCE is seeking a postdoc researcher to contribute to the
multilingual application activities in the context of the EU funded
project "Statistical Multilingual Analysis for Retrieval and
Translation" (SMART). This project is focused on advancing the state
of the art in Statistical Machine Translation and Cross-Language
Textual Information Access technologies by the means of modern
Statistical Learning. XRCE is involved in the whole spectrum of
SMART activities:

     * Advanced models for Statistical Machine Translation
     * Advanced Language Models
     * Translation and Language Model Adaptation and Combination
     * Cross-Language Textual Information Access

Contributions to some or all these activities are expected, in close
collaboration with other members of the group.

XRCE maintains a high level of publications (in both journals and
conferences) and patents. We expect the successful candidate to be
part of these efforts.

Required experience and qualifications:

     * PhD in computer science, statistics, mathematics or
       optimization with excellent knowledge of machine learning
       (especially statistical learning).
     * Experience in the implementation of scalable optimization
       algorithms and/or in statistical machine translation is a definite
       plus.
     * Good programming skills in C, C++, Python or Matlab.
     * A good command of English is required, as well as
       open-mindedness and the will to collaborate with a team.

Applications, accompanied by a CV and covering letter should be sent
to xrce-candidates at xrce.xerox.com

The duration of the contract is 18 months, starting October 1st, 2006.

Xerox Research Centre Europe (XRCE) is a young, dynamic research
organization, which creates innovative new business opportunities
for Xerox in the digital and Internet markets. XRCE is a
multicultural and multidisciplinary organization set in Grenoble,
France. We have renowned expertise in natural language processing,
work practice studies,image processing and document structure. The
variety of both cultures and disciplines at XRCE makes it both an
interesting and stimulating environment to work in, leading to often
unexpected discoveries! XRCE is part of the Xerox Innovation Group
made up of 1000 researchers and engineers in five world-renowned
research and technology centers.

The Grenoble site is set in a park in the heart of the French Alps
in a stunning location only a few kilometres from the city
centre. The city of Grenoble has a large scientific community made
up of national research institutes (CNRS, Universities, INRIA) and
private industries. Grenoble is close to both the Swiss and Italian
borders and is the ideal place for skiing, climbing, hang gliding
and all types of mountain sports.

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Nicola Cancedda,
Xerox Research Centre Europe
6, Chemin de Maupertuis, 38240 Meylan France			
Tel.: +33 (0)4 76.61.51.59
Fax.: +33 (0)4 76.61.50.99
E-mail:	Nicola.Cancedda at xrce.xerox.com
Home Page: http://www.xrce.xerox.com/people/cancedda/