Contexte et atouts du poste
The position will be supported by FedMalin, a collaborative project on Federated Learning between 11 teams at INRIA.
The project addresses FL challenges when deployed over the internet (privacy, heterogeneity, energy, fairness, ...) and has medicine as a main targeted application domain.
FedMalin develops several software tools, including the open source library DecLearn ( for private and decentralized/federated machine learning and data analysis.
The hired engineer will contribute to the ongoing development of DecLearn, expanding its capabilities with new algorithms and enhanced functionalities.
The activities will include interactions with the members of the project, the Magnet and Premedical teams (researchers and engineers).
We also expect to conduct multi-centric medical studies across several hospitals.
The activities can also include travel, e.g., to conferences to demonstrate the developed library and to contribute to the community building effort.
Mission confiée
Consolidate and extend the existing library for decentralized and privacy-preserving machine learning developed in the projectDeploy the library in real-world conditions and experiment on synthetic and (benchmark) medical data, analyzing the benefits and the costs compared to a centralized approach.Publish open source code and integrate in existing librariesPublish scientific results in medical and computer science conferences The Declearn project is available at
Principales activités
Implement federated and privacy-preserving algorithms for machine learningExperiment with medical partners on multicentric medical studiesEvaluation of resultsReporting, disseminating and presenting results Compétences
Programming skills in Python, including object oriented programming, unit testing, documentation writing, deployment tools, asynchronous programming and networking.Good understanding of scientific papers on machine learning.Interest for machine learning and medical applications.
Good communication skills; communication and animation of software development communities, git workflow Avantages
Subsidized mealsPartial reimbursement of public transport costsLeave: 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 hoursProfessional equipment available (videoconferencing, loan of computer equipment, etc.)Social, cultural and sports events and activitiesAccess to vocational trainingSocial security coverage Rémunération
According to profile