We are offering a PhD position on the topic: 'Automatic Extraction and Structuring of Cultural Events: An Efficient and Frugal Approach to Connect ICC Stakeholders and Their Audiences.'

Location: Laboratoire Informatique d’Avignon (LIA) or Laboratoire des Sciences du Numérique de Nantes (LS2N)
Start Date: Fall 2025
Funding: 3 years (subject to approval by PEPR ICCARE, ~€1700-1900/month net)
Supervisors: Vincent Labatut vincent.labatut@univ-avignon.fr (LIA), Richard Dufour richard.dufour@univ-nantes.fr (LS2N)
Industrial Partner: Thomas Chenevier thomas@ideactiv.com, ideactiv (https://www.ideactiv.com)

Objective
Develop an automatic system to extract and structure cultural event information from the websites of sector stakeholders (festivals, museums, performance venues, etc.). The approach should be efficient and frugal, minimizing errors and hallucinations from language models.

Research Areas
- Information Extraction & NLP (Named Entity Recognition, Disambiguation, etc.)
- Analysis of Unstructured Web Content
- Machine Learning Models

Candidate Profile
Master’s degree or engineering diploma in computer science (or equivalent), with experience in NLP, machine learning, and/or software engineering. Strong English proficiency, autonomy, and teamwork skills are essential.

Application Process
Send your CV, academic transcripts, recommendation letters, and a motivation letter (specific to the topic) to the supervisors listed above.

More information and detailed document here: https://uncloud.univ-nantes.fr/index.php/s/WagAfz8f3MSy6Zj