Offre en lien avec l’Action/le Réseau : FedSed/Innovation

Laboratoire/Entreprise : EPIONE Inria
Durée : 24 mois
Contact : marco.lorenzi@inria.fr
Date limite de publication : 2023-09-30

Contexte :
As a research engineer, you will be attached to the Department of Experimentation and Development (SED) and to EPIONE Research Group. You will integrate the personnel staff for engineering innovation and Inria technology transfer and work on the development of the project Fed-BioMed. This project is the result of the synergy between research and engineering teams for the development of an open framework for federated learning in healthcare. The project is in collaboration with an international network of clinical collaborators and hospitals, that will provide clinical use cases for the translation of the development work into the real world. The project is based on Agile development methods, and is supported by the transfer, innovation and partnerships service (STIP) of the center, responsible for prospecting and helping the team in the implementation of research contracts and technology transfer.

At the end of this experience, you will have consolidated a broad range skills in software engineering with application to a unique scientific context, through the deployment of top-notch Data Science paradigm. This experience will allow you to consider careers as an engineer in research and development in national organizations ( Inria, INRAE, CNRS, CEA), industrial research centers, SMEs and digital start-ups.

Sujet :
The engineer will be mainly involved in the software developments within the framework of the project Fed-BioMed. She / He will also participate in the design and development of highly innovative scientific software platforms for scientific research and experimentation activities.
The engineer will also work on the co-development of prototype software integrating the technological core ideas proposed by the researchers. The engineer will work within a software development team using agile methodologies (mixed Scrum-Extreme Programming method), in a context where she / he will be able to constantly improve her / his skills.

Profil du candidat :
This position is intended for PhD, Post-docs or Engineers in the field of computer sciences (IT, image processing, robotics, bioinformatics, automation, simulation and high-performance computing), with a demonstrable background in machine learning and AI-related topics.

• Software development / software engineering.
• Solid experience in software development.
• Experience in project development, preferably using Agile methodology.
• Experience in Linux development
• Training and / or experience in one or more of the following fields: Data science / Statistics, Machine Learning, Artificial Intelligence, Optimization,
• ML libraries (e.g. Pytorch, TensorFlow, Keras, Julia),
• Medical data analysis,
• Database management;
• Knowledge / experience in an R&D environment (public or private sector).

Formation et compétences requises :
Skills / know-how:
• Programming languages: Python, C, C ++
• Experience with Machine Learning libraries (e.g PyTorch, TensorFlow, Keras, Julia)
• Know how to implement the methods and tools underlying the compilation, version control, continuous integration and development through testing in a context of agile methods
• Knowledge of agile methodology
• Good writing and communication skills
• Good level of technical and scientific English, both oral and written.
• Knowledge in one or more of the following tools is also a plus:
o version management, continuous integration, packaging and deployment (git, jenkins, cpack, conda, docker)
o graphical interfaces: Qt, Electron, Gtk, …

Benefits

• Subsidized canteen,
• public transport partially reimbursed
• Leave: 7 weeks of annual leave + 10 days of RTT (full-time basis) + possibility exceptional absence authorizations (e.g. parental leave, moving)
• Possibility of teleworking (after 6 months of seniority) and working time arrangement
• Professional equipment available (videoconferencing, loan of equipment, computers, etc.)
• Social, cultural and sports benefits (Association for the management of social works Inria)
• Access to vocational training
• Social Security

Salary

Depending to experience

Adresse d’emploi :
Inria Sophia Antipolis
2004 Route des Lucioles,
06902 Sophia Antipolis