PhD Position in Collaborative Learning, Inria University of Lille, France

Postdoc in France

PhD Position in Collaborative Learning: The Inria University of Lille offers a PhD position focusing on designing privacy-preserving collaborative learning strategies for Large Language Models (LLMs). This research is part of the REDEEM project and is aimed at optimizing collaborative learning in privacy-sensitive contexts.

PhD Position in Privacy-Preserving Collaborative Learning

Designation

PhD Researcher

Research Area

  • Privacy-Preserving Collaborative Learning
  • Large Language Models (LLMs)
  • Machine Learning and Natural Language Processing

Location

Villeneuve d’Ascq, France

Eligibility/Qualification

RequirementDetails
DegreeMaster’s degree in Computer Science, AI, Machine Learning, NLP, Applied Mathematics, or related field
KnowledgeFoundations in machine learning and NLP; familiarity with training and fine-tuning LLMs
ExperienceInterest or experience in collaborative learning; familiarity with privacy-enhancing technologies, particularly differential privacy is a plus
Programming SkillsStrong skills in Python; experience with ML frameworks such as PyTorch or TensorFlow
Language ProficiencyExcellent oral and written English proficiency

Description

The selected candidate will undertake original research on privacy-preserving collaborative learning strategies for LLMs. The research will address trade-offs between model utility and privacy risk, involving the development of collaborative protocols and privacy-preserving mechanisms based on differential privacy. The PhD candidate will work in a stimulating environment that encourages both national and international collaboration.

How to Apply

Interested candidates should submit their CV and cover letter following the application guidelines available at Inria MAGNET Team. Applications must be submitted online through the Inria website for processing assurance.

Last Date for Apply

January 15, 2026

Benefits

  • Subsidized meals
  • Partial public transport reimbursement
  • Flexible working hours and teleworking options
  • 7 weeks of annual leave plus additional days off
  • Access to vocational training and social, cultural, and sports events
  • Competitive remuneration of €2,300 monthly gross salary

For further inquiries, candidates can contact the PhD Supervisor:
Marc Tommasi
Email: Marc.Tommasi@inria.fr

Link

LEAVE A REPLY

Please enter your comment!
Please enter your name here