CONTRACT RESEARCHER IN PHYSIOLOGICAL SIGNAL PROCESSING

Compiègne University of Technology is recruiting a contract researcher F/H for the GB Department - UMR 7338 BMBI Laboratory, as part of the Patient Stress Measure (PSM) project.

The aim of the Patient Stress Measure PSM solution is to develop a system comprising a device and a digital solution for measuring people's degree of acute stress using non-invasive devices (sensors) and managing it (high stress) by implementing responses tailored to the professional context in question.

The innovative nature of the solution lies in the use of a wearable device (such as a smartwatch) that measures heart rate variability (HRV) and electrodermal activity, coupled with a digital solution that provides a real-time estimate of stress. The implementation of algorithms to detect stress using data fusion and Artificial Intelligence is the key element of the system.

Mission

Define a recording protocol and record a new database under real conditions. Propose a new approach to stress recognition in real-life conditions, using data fusion between several modalities and new AI techniques. To develop a real-time demonstrator of the stress recognition solution.

Activities

The activities to be carried out are: carrying out a market survey of existing sensors to define the new experiment; setting up the protocol and the experiment; proposing a new AI approach to stress recognition by combining several signals; developing the demonstration software.

Additional information

Type of contract and expected date of recruitment

Fixed-term contract - expected to last 12 months - to be filled as soon as possible

Gross monthly salary

Depending on experience and funding

Hours worked

1,607 hours / year

Working environment and context

The position is attached to the Biological Engineering Department. The person recruited will work in the BMBI UMR 7338 laboratory. Work will be carried out on the EBioMed platform.

The person recruited will report to the project manager and maintain regular contact with him/her and all the parties involved.

He/she will benefit from an environment rich in scientific skills and a wide range of equipment enabling the project to be carried out.

The project may involve travel.

Skills

Scientific Python, signal processing, machine learning, AI, graphical user interface.

Diploma, training and accreditation

Degree: doctorate

Field of study: computer science, bioinformatics