Offer Description
Loria is the French acronym for the “Lorraine Research Laboratory in Computer Science and its Applications” and is a research unit (UMR 7503), common to CNRS, the University of Lorraine, CentraleSupélec and Inria. This unit was officially created in 1997.
The successful candidate will be offered a PhD contract and will be enrolled at the University of Lorraine's Doctoral School of Computer Science, Automation, Electronics and Mathematics (IAEM).
Loria's missions mainly deal with fundamental and applied research in computer sciences.
Bolstered by the 500 people working in the lab, its scientific work is conducted in 24 teams including 13 common teams with Inria. Loria is today one of the biggest research labs in the Grand Est Region.
The landscape of scientific publishing is currently undergoing rapid change. The volume of published research continues to grow at an unprecedented rate, placing increasing pressure on journals, conferences and the peer-review process. Peer review, the cornerstone of scientific validation, is under severe strain and risks becoming unsustainable. Preserving the reliability and integrity of scientific publications has therefore become a crucial issue.
Large language models (LLMs) play a central role in this transformation. Their rapid adoption meets genuine needs in terms of writing assistance and, more broadly, research support. They can help to revise drafts, improve readability and express complex ideas more clearly. However, their use in scientific writing gives rise to new and significant risks: from fabricated or distorted content to manipulated citations, including subtle forms of plagiarism, and even the large-scale production of unreliable or fraudulent articles.
This doctoral thesis aims to improve the usefulness of large language models (LLMs) in the context of scientific writing. We aim to identify inconsistencies, distortions and unjustified changes introduced during the revision process – whether these stem from the model, the authors or their interaction – and to design feedback mechanisms incorporating LLMs that help researchers to iteratively improve their writing and strengthen their writing practices, whilst allowing them to retain control over the writing process.
Where to apply
Website: https://emploi.cnrs.fr/Offres/Doctorant/UMR7503-YANPAR-003/Default.aspx
Requirements
- Research Field: Engineering; Education Level: PhD or equivalent
- Research Field: Computer science; Education Level: PhD or equivalent
- Research Field: Mathematics; Education Level: PhD or equivalent
- Languages: French; Level: Basic
- Research Field: Engineering; Years of Research Experience: None
- Research Field: Computer science; Years of Research Experience: None
- Research Field: Mathematics; Years of Research Experience: None
Additional Information
Website for additional job details: https://emploi.cnrs.fr/Offres/Doctorant/UMR7503-YANPAR-003/Default.aspx
Work Location(s)
Number of offers available: 1
Company/Institute: Laboratoire lorrain de recherche en informatique et ses applications
Country: France
City: VANDOEUVRE LES NANCY
