Contractual Engineer in Digital Health Innovation

il y a 4 semaines


Villeneuved'Ascq, Hauts-de-France Inria Temps plein

Contract Type:

Fixed-term Contract
Required Education Level: Master's Degree or Equivalent
Contractual Scientific Engineer
About the Center or Functional Direction

The Inria University of Lille center, established in 2008, employs 360 individuals, including 305 researchers across 15 research teams.

Recognized for its significant contribution to the socio-economic development of the Hauts-De-France region, the Inria University of Lille center maintains strong collaborations with both large corporations and SMEs.

By fostering synergies between researchers and industry professionals, Inria plays a vital role in the transfer of skills and expertise in digital technologies, granting access to premier European and international research to enhance innovation and support companies, particularly within the region.

This engineering role will be part of the CAPS'UL initiative. The CAPS'UL project's aim is to advance the digital health culture among current and future healthcare professionals.

A segment of the project focuses on creating a high-performance tool for practical applications, facilitating effective collaboration among various training, socio-economic, and medico-social stakeholders involved in educational programs.

It will offer a credible immersive environment (utilizing real software and simulated healthcare data) along with teaching scenarios for the entire educational community.

The INRIA MAGNET team will contribute to this initiative by researching machine learning algorithms for synthetic data generation while adhering to privacy constraints tailored for training purposes.

The selected engineer will work alongside colleagues from the MAGNET team and the CAPS'UL project consortium.

Specifically, the responsibilities will include developing a platform for synthetic (longitudinal) data generation and a toolkit for privacy auditing.

All software produced will be open-source.
Responsibilities include:
  • Selecting and compiling state-of-the-art implementations of machine learning techniques for synthetic data generation
  • Extracting and preparing health data for training machine learning models
  • Generating synthetic data and assessing privacy using advanced attack methodologies
  • Testing algorithms and conducting experiments
  • Creating relevant tests and documentation
  • Integrating these implementations into the CAPS'UL platform

Essential qualifications include strong programming skills in Python.
Additional benefits include partial reimbursement of public transport costs, 7 weeks of annual leave, 10 extra days off due to RTT, and the possibility of exceptional leave (for sick children, moving, etc.).
Opportunities for social, cultural, and sports events and activities
Access to vocational training
Comprehensive social security coverage
General Information
Representation and processing of data and knowledge Software Engineering (BAP E)

Contract Duration:

In line with its diversity policy, all positions at Inria are accessible to individuals with disabilities.

Inria is the national research institute dedicated to digital science and technology. It employs 2600 individuals.
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