Fully Funded PhD Position in Event-Event Relation Extraction at La Rochelle University

Fully funded PhD position in Event-Event Relation Extraction at La Rochelle University, exploring machine learning approaches and knowledge graphs.

The Images and Contents team of the L3i lab at La Rochelle University invites applications for a fully-funded PhD position in Event-Event Relation Extraction.

The project aims to explore machine learning approaches, structured knowledge graphs, and multimodal visual representations to model event-event relations effectively.

Key Responsibilities:

• Detect implicit and explicit event-event relations across diverse textual sources
• Represent these relationships using knowledge graphs and semantic models
• Link event sequences with relevant background knowledge
• Visualize event interactions to enhance interpretability and facilitate narrative analysis

What we offer:

• Yearly scholarship of €40,000 for up to 36 months
• Interdisciplinary and collaborative research opportunities with Digital Humanities and Computer Science researchers

Eligibility:

• Master’s degree in Computer Science, Computational Linguistics, Information Retrieval, Data Science or a related field
• Strong interest or prior experience in NLP, knowledge graphs, semantic technologies, or interactive data visualization

How to Apply:

Submit your Expression of Interest (EOI) to Georgeta Bordea (name.surname at univ-lr.fr) including your CV, transcripts, and a detailed suitability statement.

Learn more about the Images and Contents team: https://l3i.univ-larochelle.fr/Images-et-contenus

Learn more about the L3i lab: https://l3i.univ-larochelle.fr/

Tags: PhD position, Event-Event Relation Extraction, La Rochelle University, Machine Learning, Knowledge Graphs, Multimodal Visual Representations, NLP, Digital Humanities, Computer Science