En poursuivant votre navigation sur ce site, vous acceptez le dépôt de cookies dans votre navigateur. (En savoir plus)
Portail > Offres > Offre UMR7649-MARGEN-003 - Modélisation personnalisée de la poromécanique pulmonaire dans le cadre du COVID-19 (H/F)

Personalized modeling of lung poromechanics in COVID-19

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : lundi 25 janvier 2021

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler. Les informations de votre profil complètent celles associées à chaque candidature. Afin d’augmenter votre visibilité sur notre Portail Emploi et ainsi permettre aux recruteurs de consulter votre profil candidat, vous avez la possibilité de déposer votre CV dans notre CVThèque en un clic !

Faites connaître cette offre !

General information

Reference : UMR7649-MARGEN-003
Workplace : PALAISEAU
Date of publication : Monday, January 04, 2021
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 February 2021
Proportion of work : Full time
Remuneration : 3000€
Desired level of education : PhD
Experience required : Indifferent


In the past few years, the M3DISIM team at École Polytechnique and Inria, in close collaboration with clinicians (pulmonologists and radiologists) from Avicenne AP-HP Hospital/Sorbonne Paris Nord University/INSERM, as well as image processing experts from Telecom SudParis, has developed a poromechanical model of the human lung, together with an estimation pipeline allowing to personalize the model to a patient based on clinical images [1]. Until now the focus of the group was on idiopathic pulmonary fibrosis; however, the consortium has just received a grant from the ANR to adapt the image-based patient-specific modeling pipeline to COVID-19 patients.


More precisely, the project concerns the processing of CT images of patients followed at the Avicenne AP-HP hospital for an assessment of vascular remodeling and regional lung mechanics/compliance. These parameters obtained at 2-3 months of the COVID-19 infection will be correlated with clinical, CT, and functional data at 6 months and 1 year of follow-up. To do so, developments are required at the modeling level (to adapt the model to the new disease), on the numerical method level (to automatize the few remaining manual steps) as well as at the implementation level (to streamline the image -> model pipeline).


We are looking for an engineer or a postdoc. The funding is for one year, but could be further extended if we receive other grants. The candidate will have a fair understanding of continuum mechanics, with if possible knowledge of finite strains, biomechanics, and numerical methods. He/She will be at ease with computational pipelines, and also have an interest in the application in pulmonology, especially for interacting with clinical collaborators.

Work Context

The COVID-19 infection manifests itself in its severe forms as acute alveolar-interstitial and vascular disease of varying severity, the long-term course of which is unknown. A development towards fibrosing pneumopathy could affect 10 to 30% of survivors of severe forms, which would make it a public health problem due to the secondary handicap. A better understanding of the regional physiological mechanisms in the evolution of COVID-19 pneumonia in their severe forms would allow to anticipate the development or not of sequelae, in particular fibrosing.

We talk about it on Twitter!