Engineer Contractor

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, 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.For more than 10 years, the Inria 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
The work concerns a project of the INRIA-MAGNET team with the Lille Hospital, in particular the development of the open source library DecLearn for private and decentralized/federated machine learning and data analysis to conduct multi-centric medical studies across several hospitals.


The activities will include interactions with the members of the Magnet team (researchers and engineers) and with engineers and doctors of the Lille Hospital. 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 project
Integrate these developments to the information systems of partners hospitals to enable decentralized medical studies
Deploy 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 libraries
Publish scientific results in medical and computer science conferences

The Declearn project is available at
Principales activités




Implement federated and privacy-preserving algorithms for machine learning
Identify appropriate multicentric medical studies that fit the decentralized setting
Experiment with medical partners
Evaluation of results
Reporting, disseminating and presenting results
Compétences




Programming skills, preferable in Python, C/C++, R, Bash scripting,
Interest for machine learning and medical applications. Good understanding of scientific papers on machine learning
Good communication skills; communication and animation of software development communities, git workflow
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