Engineer - Scientific programmer in privacy-preserving federated machine learning (F/M)

Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Ingénieur scientifique contractuel

Niveau d'expérience souhaité : De 3 à 5 ans

A propos du centre ou de la direction fonctionnelle

Created in 2008, the Inria center at the University of Lille employs 360 people, including 305 scientists in 16 research teams. Recognized for its strong involvement in the socio-economic development of the Hauts-De-France region, the Inria center at the University of Lille maintains a close relationship with large companies and SMEs. By fostering synergies between researchers and industry, Inria contributes to the transfer of skills and expertise in the field of digital technologies, and provides access to the best of European and international research for the benefit of innovation and businesses, particularly in the region.

For over 10 years, the Inria center at the University of Lille has been 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 engineer position will be supported by the PEPR IA Redeem 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. Notions such as (local) differential privacy and its generalizations allow to bound 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 engineer will collaborate with colleagues in the MAGNET team and the REDEEM project. In particular, the work will contribute to REDEEM's open source library, by collaboratively designing and developing the overall architecture and contributing modules providing privacy enhancing technologies (PETs) and privacy assessment functionality based on MAGNET scientific advances

By default all developed software will be open-source.

Tasks may include

developing algorithms, e.g., cryptographic or statistical modules, modules supporting the knowledge discovery pipeline and its automatisation

testing algorithms through systematic benchmarking / experimentation

applying algorithms in applications

Principales activités

Studying new algorithms for reasoning about data privacy

Automatically analyzing and transforming algorithms and queries provided as input.

Design and prototyping of key algorithms

Create appropriate documentation

Integrate such implementations in the FLUTE platform

test algorithms and run experiments

Prepare further research and development starting from the FLUTE platform.

Compétences

Technical skills and level required :

a strong understanding of distributed algorithms

software design and development skills (relevant code may include Python and/or C/C++)

understanding of process models and (probabilistic) reasoning techniques

understanding of programming language internals (e.g., abstract syntax trees)

Languages :

Mastering English is essential

Relational skills :

smoothly working in a team in a reseach environment

effective communication and collaboration

eager to learn in an academic setting

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

According to profile

Informations générales

Thème/Domaine : Représentation et traitement des données et des connaissances

Statistiques (Big data) (BAP E)

Ville : Villeneuve d'Ascq

Centre Inria : Centre Inria de l'Université de Lille

Date de prise de fonction souhaitée : 2026-09-01

Durée de contrat : 10 mois

Date limite pour postuler : 2026-08-24

Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti.

Consignes pour postuler

Please send us your CV and cover letter.

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). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.

Politique de recrutement :

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

Contacts

Équipe Inria : MAGNET

Recruteur :

Ramon Jan / jan.ramon@inria.fr

L'essentiel pour réussir

We are looking for a candidate with a strong background in computer science, with interest in research (including the mathematics needed to realize privacy) who welcomes the broad range of challenges leading to a successful result.

The development to which the engineers will contribute will include among others parts requiring (a) highly efficient mathematical code (for the reasoning components), (b) communication and security related modules, (c) interaction with AI libraries (e.g., scikit learn) and (d) analyzing and transforming algorithms and queries provided as input by the ML user. Being familiar with at least one of these areas of software development is an important asset.

It is important to integrate in the academic setting where everybody is continuously learning, the team where collaboration is important and the project with its specific goals and partners.

A propos d'Inria