This postdoctoral project aims at analyzing ongoing linguistic changes in French on Twitter. The goal is to apply data driven approaches to understand how the topology of the social network that structures the population of speakers shapes the diffusion of linguistic variants and innovations.
This postdoc position will part of the SoSweet collaboration. This interdisciplinary team gathers linguistics and computer scientists and adopts a sociolinguistic position and computational approaches to study the variation of French on Twitter. Its work is based on a 250 millions tweets in French dataset.
Applicants are expected to have a strong background in data science, network science and/or computational linguistics.
Interested candidates should send their CV, a cover letter and the names and addresses of three references before July 6 2018 to Jean-Philippe Magué: email@example.com