Preventing diaphragm dysfunction in the intensive care unit with innovative ultrasound biomarke[...]

Organisation/Company CNRS Department LaBoratoire d'Imagerie biOmédicale MultimodAle Paris Saclay Research Field Pharmacological sciences Engineering Technology Researcher Profile Established Researcher (R3) Application Deadline 16 Feb 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

This research project VENTILUS aims to develop a solution relying on ultrafast ultrasound (US) providing innovative biomarkers of respiratory muscle function and improving the reliability of existing biomarkers. We intend to use this new tool to improve knowledge regarding respiratory muscle structure and function within the Intensive Care Unit (ICU) with the ultimate goal to improve the management of these patients.

Three different aims will be addressed:

• Aim 1: To develop an ultrasound device for assessing the respiratory muscles within the ICU.
• Aim 2: To develop innovative ultrasound-based biomarkers for the assessment of respiratory muscle structure and function.
• Aim 3: Improving the assessment of the respiratory muscles using ultrasound within the ICU.

The project will be developed in collaboration between Biomaps in Orsay and "La Pitié Salpètrière hospital" in Paris. The candidate should travel between both sites during the project. In Biomaps, the candidate will integrate the "methodlogical and instrumental developements" team led by Jean-Luc Gennisson, a team of 25 permanent people positions and 20 students.

The successful candidate will hold a Ph.D and will be mostly in charge to build and implement new US sequences on an ultrafast US device. These new US sequences should be implemented to speed-up the acquisition rate and to optimize the setup sensibility and efficiency. Then implementation of new algorithms to build new biomarker maps should be also developed. This project requires a good knowledge of the physics of US as well as some programming facilities (Mainly Matlab, Python but some C++ capacities are desirable). Skills in Artificial intelligence would be greatly appreciated, as well as skills in biomechanics and biophysics. More specifically knowledge in elastography methods or Doppler methods would be welcome. Candidate should be skilled to interact with radiologists, physicists, industry and engineers: a clear taste for interdisciplinary research is needed.