PhD Position in Privacy-Preserving Federated Learning
il y a 2 semaines
Project Overview
The MAGNET team at INRIA is seeking a PhD student to contribute to the development of privacy-preserving federated learning algorithms for applications in oncology. The successful candidate will work closely with the project team and international partners to design and implement secure machine learning models.
Research Objectives
- Design and develop privacy-preserving federated learning algorithms for oncology applications
- Collaborate with the project team and international partners to integrate the developed algorithms into the project's open-source library
- Contribute to the dissemination of research results through publications and presentations
Requirements
- Strong background in computer science and mathematics, with a focus on machine learning, statistics, and cryptography
- Good programming skills in languages such as C/C++ or Python
- Excellent communication and teamwork skills
Benefits
- Subsidized meals and partial reimbursement of public transport costs
- 7 weeks of annual leave and 10 extra days off due to RTT
- Teleworking and flexible organization of working hours
- Access to vocational training and social security coverage
Salary
1st and 2nd year: 2100€ gross monthly salary (before taxes)
3rd year: 2190€ gross monthly salary (before taxes)
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