Two Postdoc Positions in Statistical Machine Learning and Algorithmic Mechanism design at Xerox Research Centre Europe

The Machine Learning for Optimisation and Services group (MLS) at Xerox Research Centre Europe is expanding. We conduct fundamental research in statistical machine learning and algorithmic mechanism design, with applications to abstract knowledge representation, content creation, recommendation systems and dynamic pricing. Our research is the result of combining state-of-the-art expertise in computational linguistics, large-scale data mining, computational statistics and game theory.

We are currently looking for two very strong researchers in the following areas:

1. Statistical Machine Learning for Text Understanding and Multi-document Summarisation:

2. Statistical Machine Learning and Algorithmic Mechanism design:

Applicants will have to demonstrate their capacity to define and/or implement research plans, to carry out leading research through collaboration with Xerox researchers and also the wider academic community. As a researcher you will be expected to formalize 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.


– PhD in Statistics, Mathematics, Economics or Computer Science

– Strong publication record in top tier conferences and journals

– Evidence of implementing systems

– Strong English-language written and oral communications skills

The application deadline is August 15, 2010. Applications will be considered after this date until the positions are filled.

Informal inquiries can be made to Cedric.Archambeau(AT), Guillaume.Bouchard( or Onno.Zoeter(AT) To submit an application, please send your CV and cover letter to both xrce-candidates(AT) and the aforementioned email addresses. You should also include in your CV at least three referees we can contact for letters of recommendation.