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
| Requirement | Details |
|---|---|
| Degree | Masterโs degree in Computer Science, AI, Machine Learning, NLP, Applied Mathematics, or related field |
| Knowledge | Foundations in machine learning and NLP; familiarity with training and fine-tuning LLMs |
| Experience | Interest or experience in collaborative learning; familiarity with privacy-enhancing technologies, particularly differential privacy is a plus |
| Programming Skills | Strong skills in Python; experience with ML frameworks such as PyTorch or TensorFlow |
| Language Proficiency | Excellent 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 โฌ2,300 monthly gross salary
For further inquiries, candidates can contact the PhD Supervisor:
Marc Tommasi
Email: Marc.Tommasi@inria.fr







