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PhD Position F/M PhD student on privacy-preserving federate learning with applications in oncology
Il y a 7 mois
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):
Relevant topics in cryptography, statistics, distributed computing and programming languages Design and development of the open source library
Principales activités
Contribute to the research of the TRUMPET, FLUTE and REDEEM projects Collaborate with other MAGNET team members and project partners Disseminate research results
Compétences
The ideal candidate will have the following skills:
Good mastery of English A strong background in computer science and mathematics. Subject matters which will be needed during the research include (but are not limited to) machine learning, statistics, cryptography, distributed systems, constraint programming and programming languages. Good programming skills (e.g., C/C++ or python) and supporting tools. Relational skills, e.g., working in a team, effective reporting and communication with all involved stakeholders.
Avantages
Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage
Rémunération
1st and 2nd year : 2100€ gross monthly salary (before taxes)
3rd year : 2190€ gross monthly salary (before taxes)
