The Cross-Language Technologies (CLT) area of the Xerox Research
Centre Europe (XRCE) conducts research in the following areas:
Statistical Machine Translation; Multilingual Terminology Extraction;
Cross-Language Information Retrieval (CLIR), Categorization and
Clustering. The team is part of the PASCAL 2 European Network of
Excellence, ensuring a strong network of academic collaborations.

 

We are opening 2 Postdoc positions for researchers interested in the
areas of Statistical Machine Translation and/or CLIR. For the first
position, we are looking for a candidate with a strong Machine
Learning background, for the second position for a candidate with a
strong SMT, CLIR, or NLP background.

 

Required experience and qualifications: 

 

For the first position: 

* PhD in computer science, statistics or mathematics with focus on
  Machine Learning.

* Acquaintance with SMT or NLP is a plus.

For the second position: 

* PhD in computer science or computational linguistics with focus on
  SMT, CLIR, or statistical NLP.

* Acquaintance with Machine Learning is a plus.

For both positions: 

* Good programming skills in C, C++, and/or Python.

* A good command of English is required, as well as open-mindedness
  and the will to collaborate within a team.

 

Starting date: January 2010

Duration: 18 months

 

Application instructions: please email your CV and covering letter,
with message subject containing the expression "[CLT Postdocs 2010]"
to xrce-candidates and to Nicola.Cancedda at xrce.xerox.com.

 

More details at:
http://www.xrce.xerox.com/About-XRCE/Jobs/Two-Postdoc-Positions-Cross-Language-Technologies
.

 

Inquiries can be sent to Nicola.Cancedda at xrce.xerox.com. 

 

XRCE is a highly innovative place and we strongly encourage
publication and interaction with the scientific community.