Fully-funded 3-years PhD position on information extraction for scholarly documents
Keywords: Information Retrieval, Natural Language Processing
Funded by the French National Centre for Scientific Research (CNRS) through the NaviTerm project. Salary is approx. 1700€ per month. Funds are secured for travels to international conferences.
Location : Nantes, France
Starting date is flexible, starting from 2023-09-01.
Profile: a university degree (MSc) in Computer Science is required, with solid experience in deep learning. Interests in Natural Language Processing, information retrieval or artificial intelligence are a definite plus. Strong programming skills (Python) and excellent English skills are expected. Fluency in French is not required for admissions.
PhD's research topic: this PhD falls within the context of scientific digital libraries (e.g. arXiv, Pubmed) and will focus on developing new terminological extraction models to simplify and ease the access to scientific knowledge. More specifically, the task will be to develop automated methods for extracting and structuring key terms from a collection of scientific articles which, combined with a faceted-search engine, will offer researchers a simple and rapid means of building exertise in a new field of research.
Please send applications including motivation, curriculum vitae and certificates to Florian Boudin and/or Richard Dufour and/or Béatrice Daille by email via florian.boudin@univ-nantes.fr and/or richard.dufour@univ-nantes.fr and/or beatrice.daille@univ-nantes.fr. If your application is accepted, you will be offered an audition.