Temporary scientific engineer / A platform for synthetic data generation and privacy evaluation[...]

Type de contrat : CDD

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Ingénieur scientifique contractuel

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, the Inria 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.

This engineer position will be supported by the CAPS'UL project. The position will be based in the MAGNET team in Lille, in very close collaboration with the Lille Hospital.

The CAPS'UL project objective is to promote digital health culture for current and future healthcare professionals. Part of the project concerns the design of a high-performance tool for practical situations, enabling concrete and effective collaboration between the various training, socio-economic and medico-social players in the implementation of training courses.

The recruited engineer will collaborate with colleagues in the MAGNET team and the CAPS'UL project consortium. In particular, the work will contribute to build a platform for synthetic (longitudinal) data generation together with a toolbox for privacy auditing.

The principal activities will be in two steps.

• First period
  • Select and gather state of the art implementations of machine learning methods for synthetic data generation
  • Extract and prepare health data for training machine models
  • Generate synthetic data and evaluate privacy with state of the art attacks
  • Test algorithms and run experiments
• Second period
  • Design and prototyping of key algorithms
  • Create appropriate tests and documentation
  • Integrate such implementations in the CAPS'UL platform
  • Test algorithms and run experiments

• Strong background in Computer Science
• Strong programming skills in Python
• Background in privacy and machine learning
• Prior experience in the health domain will be an asset

• 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

According to profile

• Thème/Domaine : Représentation et traitement des données et des connaissances
  Ingénierie logicielle (BAP E)
• Ville : Villeneuve d'Ascq
• Centre Inria : Centre Inria de l'Université de Lille
• Date de prise de fonction souhaitée : 2024-10-01
• Durée de contrat : 2 ans
• Date limite pour postuler : 2024-09-30

Sécurité défense :
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST).

Politique de recrutement :
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.

• Équipe Inria : MAGNET
• Recruteur :
  Tommasi Marc / Marc.Tommasi@inria.fr

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.