Research Scientist in Statistical Natural Language Processing at Xerox
The Parsing & Semantics research area at Xerox Research Centre Europe
(XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction). The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge. The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.
The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.
The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services.
XRCE is located in Grenoble, France, in the heart of the French Alps.
Grenoble offers an excellent quality of life and a large scientific community. For more information, please see http://www.xrce.xerox.com/.
Requirements:
* PhD in Computer Science or Computational Linguistics
* NLP knowledge and experience
* Knowledge or experience in machine learning or information extraction
* Object oriented programming skills (e.g. java)
* Strong written and oral communications skills in English
Application instructions:
The application deadline is March 1, 2013, but applications will be
considered beyond this date until the position is filled.
Informal inquiries can be made to James.Henderson@xrce.xerox.com or
Tonya.Love@xerox.com.
To submit an application, please send your CV and cover letter to both
xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should
also include in your CV at least three referees we can contact for
letters of recommendation.
