An Information Extraction Platform For Ontology Engineering The Orpailleur team offers a 1-year post-doctoral position in Nancy, France, starting in Autumn 2014. This project aims at improving existing tools and developing a complete platform of information extraction that annotates texts in an rdf (or similar) format. The result of this process should be used to build an ontology but this is out of the scope of this project. However, in order to fulfill requirements coming from the ontological level, the EI process may be progressively improved, i.e. discovering new entities, new features or new relations. Thus, experts that guide the process should be able to interact with the IE platform and apply some data mining tools and machine learning methods to identify new feature of interest. Candidates applying for this position should have a PhD in Computer Sciences with a good background in Natural Language Processing and Information Extraction. Knowledge about Data Mining and Machine Learning would be greatly appreciated. In addition, abilities and experience in programming in C, C++ or Java are wished. This work comes within the scope of the "Hybride ANR Project" which aims at extracting from PubMed texts some knowledge about rares diseases. The candidate will have to work jointly with another post-doc researcher on Formal Concept Analysis that will be in charge of conceptualizing the ontology. LORIA lab is located in Nancy, East of France. It is among the largest computer science research laboratories in France involving several research organizations such as CNRS, INRIA Nancy Grand Est and Lorraine University. It is a very large and challenging research environment with 29 research teams and excellent computing facilities. Working languages are French or English. Contact : Yannick Toussaint (Yannick.Toussaint@loria.fr)