PhD Position F/ M PhD student on privacy-preserving federate learning with applications in oncology

Contexte et atouts du poste

This PhD student position will be supported by the project. While this position will be in the MAGNET team in Lille, we will collaborate with the several European project partners.

While AI techniques are becoming ever more powerful, there is a growing concern about potential risks and abuses. As a result, there has been an increasing interest in research directions such as privacy-preserving machine learning, explainable machine learning, fairness and data protection legislation.
Privacy-preserving machine learning aims at learning (and publishing or applying) a model from data while the data is not revealed. Statistical privacy allows for bounding the amount of information revealed.

The MAGNET team is involved inthe related TRUMPET, FLUTE and REDEEM projects, and is looking for team members who can in close collaboration with other team members and national & international partners contribute to one or more of these projects. All of these projects aim at researching and prototyping algoirhtms for secure, privacy-preserving federated learning in settings with potentially malicious participants. The TRUMPET and FLUTE projects focus on applications in the field of oncology, while the REDEEM project has no a priori fixed application domain.

Mission confiée

The recruited PhD student will collaborate with colleagues in the MAGNET team and the project consortia in general. Part of the work may involve travel to other partners.

If the research features a prototype, it will contribute to the project's open source library and may be supported by engineers in the team.

Possible domains of research include (but are not limited to):

Principales activités

Compétences

The ideal candidate will have the following skills:

Avantages

Rémunération

1st and 2nd year : 2100€ gross monthly salary (before taxes) 

3rd year : 2190€ gross monthly salary (before taxes)