Job: Research Staff position at Xerox

[Thierry Hamon]

Date: Thu, 22 Mar 2007 19:37:48 +0100
From: Nicola Cancedda <nicola.cancedda at xerox.com>
Message-ID: <4602CCFC.8010900 at xerox.com>
X-url: http://www.xrce.xerox.com/people/cancedda/


Permanent Position: Machine Learning for Machine Translation
                and other Cross-Language Applications

The recently formed Cross-Language Technologies (CLT) Group of the
Xerox Research Centre Europe has the mission of researching and
developing the most effective methods for crossing language
barriers. Targeted applications include Statistical Machine
Translation (SMT), multilingual terminology extraction, Cross-Language
Information Retrieval (CLIR), Categorization and Clustering
(CLCC). The team is part of the PASCAL European Network of Excellence,
and is coordinating the SMART European project on Machine Learning
methods for translation and cross-language textual information access,
ensuring a strong network of academic collaboration.

We are looking for a researcher with a background in Machine Learning
or in Statistical Natural Language Processing to strengthen the CLT
group. Responsibilities will include inventing, implementing and
evaluating novel cross-language technologies, contributing to
government funded and academic research projects, as well as
contributing to setting and achieving the group's long-term research
goals. Current research directions include:

   1. Breakthrough techniques for training translation and
      language models

   2. Model adaptation to new domains and across time

   3. Advanced latent-semantic representations of textual data

   4. Automatic extraction of multilingual terminologies

XRCE maintains a high level of publications and patents: we expect the
successful candidate to be part of these efforts.

Applicants should possess a Ph. D. or equivalent in Machine Learning,
optimization, statistics or statistical Natural Language Processing;
experience in Machine Translation is a definite plus. The successful
candidate must have a serious interest in real-world applications and
an inventive flair, coupled with the flexibility and initiative to
pursue a dynamic array of research problems within a fast-working
team. Excellent skills in algorithms and programming are required as
well as good communication skills, particularly in English.

To apply: Please email your CV, a covering letter and sample
publications, with message subject "Cross-Language Technologies
Researcher" to xrce-candidates at xrce.xerox.com and to
Nicola.Cancedda at xrce.xerox.com

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 machine learning, work practice studies, image
processing, natural language 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 550 researchers and engineers in four world-renowned
research and technology centres. The Grenoble site is set in a park in
the heart of the French Alps in a stunning location only a few
kilometers from the city centre. The city of Grenoble has a large
scientific community made up of national research institutes (CNRS,
Universities, INRIA, Minatec) 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.

-- 
---------------------------------------------------------+
Nicola Cancedda,
Xerox Research Centre Europe
6, Chemin de Maupertuis, 38240 Meylan France      
E-mail:    Nicola.Cancedda at xrce.xerox.com
Home Page: http://www.xrce.xerox.com/people/cancedda/





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