CNRS
4 days ago
PhD in Argument Mining and Fair NLP at CNRS / Université Côte d'Azur CNRS in France
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD is funded by the ERC CoG PANDORA under Horizon Europe. Full-time temporary doctoral position, 35 hours per week, starting 1 Nov 2026.
Deadline
Sep 25, 2026
Country
France
University
CNRS

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About this position
PhD opportunity in argument mining, natural language processing, and fairness/bias mitigation at CNRS and Université Côte d'Azur, within the MARIANNE team at the Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis (I3S) in Valbonne, France.
The thesis is part of the ERC CoG PANDORA project (Deep Multimodal Learning for Mining and Generation of Arguments). The research focuses on designing argument mining systems for detection, classification, and extraction of argumentative relations in text, with an emphasis on reducing biases from training data, annotators, and neural architectures. The project aims to build more robust, generalizable, and fair tools for sensitive applications such as public debate analysis, content moderation, and decision support.
The team is interdisciplinary, with connections to linguistics, philosophy, sociology, and law, while remaining grounded in computer science and mathematical methods. Applicants should have a PhD-equivalent background in engineering, computer science, or mathematics. Basic French is required. No prior research experience is required.
This is a full-time temporary doctoral contract (35 hours/week). The position starts on 1 Nov 2026. Application deadline: 25 Sep 2026, 23:59 UTC. Apply via the CNRS job portal / Euraxess listing.
Funding details
The PhD is funded by the ERC CoG PANDORA under Horizon Europe. Full-time temporary doctoral position, 35 hours per week, starting 1 Nov 2026.
What's required
PhD or equivalent in engineering, computer science, or mathematics. Basic French is required. No research experience is required.
How to apply
Apply through the CNRS job portal or the Euraxess listing. Review the full vacancy details and submit the application before the deadline.
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