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PhD on linguistic variation and/or modeling

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : jeudi 24 juin 2021

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General information

Reference : UMR5191-MAXPEN-004
Workplace : LYON 07
Date of publication : Thursday, June 3, 2021
Scientific Responsible name : Jean-Philippe Magué
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 15 September 2021
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

Change and variation are fundamental properties of language. While it is recognized that the structures of populations and social interactions influence these properties, we are far from understanding the full complexity of this phenomenon and its dynamics. How are linguistic conventions constructed from inter-individual interactions? How do these conventions in turn influence speakers? Socio-Digital platforms provide both linguistic and social data that allow us to propose new approaches to these questions.

The proposed thesis project focuses on the emergence of the textual genre "Wikipedia article". The candidate will characterize this genre and, based on the history of the articles in the online encyclopedia, will analyze the way it has gradually been constructed over time. The emphasis will be on the role of inter-individual interactions: by reconstructing a network of contributors' interactions and analyzing their linguistic trajectory based on their individual contributions, the candidate will determine the conditions of diffusion of consensus in the population.

Work Context

This thesis is part of a larger project on linguistic variation and change involving data analysis and multi-agent modeling and bringing together members of the Icar, DDL and Lidilem laboratories. He or she will be hosted at the École normale supérieure de Lyon, in the Icar laboratory, under the supervision of Jean-Philippe Magué and Denis Vigier, but will work in close collaboration with the other members of the project.

Additional Information

The candidate will have a master's degree in data analysis (master's degree in mathematics, computer science, physics...) or in language sciences (master's degree in language sciences, cognitive sciences...). In all cases, he or she should show an interest in quantitative methods. Programming skills are a plus. The candidate is expected to work within an interdisciplinary team while demonstrating autonomy. He or she should also have the communication and writing skills to share results both with the rest of the team and in international conferences and journals.

Applications should include
- a detailed CV, including Master's grades, Master's thesis (if any) and contact information for two references (people who can be contacted)
- a letter of motivation (maximum three pages) including research interests and how the candidate plans to approach the thesis topic.

The start date of the contract is flexible, but must not be later than October 1, 2021.

Project page: http://perso.ens-lyon.fr/jean-philippe.mague/other/MACDIT

PLEASE NOTE: All applications must be submitted through the CNRS platform. Email applications will not be considered.

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