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INRIA recrutement

Phd Position F - m Phd Student on Privacy-Preserving Federate Learning With Applications In Oncology H/F INRIA

Villeneuve-d'Ascq - 59
CDD
Résumé de l'offre
  • 🕑 36 mois
  • Bac +3, Bac +4
  • Bac +5
  • Service public des collectivités territoriales

Les missions du poste

PhD Position F/M PhD student on privacy-preserving federate learning with applications in oncology
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD

Niveau de diplôme exigé : Bac +5 ou équivalent

Fonction : Doctorant

Niveau d'expérience souhaité : Jusqu'à 3 ans

A propos du centre ou de la direction fonctionnelle

The Inria University of Lille centre, created in 2008, employs 360 people including 305 scientists in 15 research teams. Recognised for its strong involvement in the socio-economic development of the Hauts-De-France region, theInria University of Lille centre pursues a close relationship with large companies and SMEs. By promoting synergies between researchers and industrialists, Inria participates in the transfer of skills and expertise in digital technologies and provides access to the best European and international research for the benefit of innovation and companies, particularly in the region.For more than 10 years, theInria University of Lille centre has been located at the heart of Lille's university and scientific ecosystem, as well as at the heart of Frenchtech, with a technology showroom based on Avenue de Bretagne in Lille, on the EuraTechnologies site of economic excellence dedicated to information and communication technologies (ICT).

Contexte et atouts du poste

This PhD student position will BE supported by the, the and/or 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)

Bienvenue chez INRIA

A propos d'Inria

Inria est l'institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l'interface d'autres disciplines. L'institut fait appel à de nombreux talents dans plus d'une quarantaine de métiers différents. 900 personnels d'appui à la recherche et à l'innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.

Hellowork a estimé le salaire pour ce métier à Villeneuve-d'Ascq

Le recruteur n'a pas communiqué le salaire de cette offre mais Hellowork vous propose une estimation (fourchette variable selon l'expérience).

Estimation basée sur les données INSEE et les offres d’emploi similaires.

Estimation basse

35 200 € / an 2 933 € / mois 19,34 € / heure

Salaire brut estimé

43 200 € / an 3 600 € / mois 23,74 € / heure

Estimation haute

50 000 € / an 4 167 € / mois 27,47 € / heure

Cette information vous semble-t-elle utile ?

Merci pour votre retour !

Phd Position F - m Phd Student on Privacy-Preserving Federate Learning With Applications In Oncology H/F
  • Villeneuve-d'Ascq - 59
  • CDD
Publiée le 12/03/2025 - Réf : 5da2b5af2967dcf81468b68d4c12123c

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