Fanette Chassagne
1 week ago
Fully Funded PhD in Aortic Wall Growth and Remodeling Prediction after LVAD Implantation École des Mines de Saint-Étienne in France
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
France
University
École des Mines de Saint-Étienne

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
About this position
We are advertising a fully funded PhD position starting in October 2026 at École des Mines de Saint-Étienne in France.
The project focuses on the prediction of aortic wall growth and remodeling following Left Ventricular Assist Device (LVAD) implantation. Building on existing aortic growth and remodeling (G&R) models, the PhD will develop a computational framework to predict how the aortic wall responds to LVAD-induced mechanical loading, with the goal of supporting optimized surgical implantation.
This opportunity is especially relevant for candidates interested in biomedical engineering, mechanical engineering, medical science, computational modeling, and cardiovascular biomechanics. The post suggests a strong quantitative and modeling-oriented profile, with interest in tissue mechanics, simulation, and translational biomedical applications.
The announcement names Stéphane Avril and Fanette Chassagne as contacts for further information. Fanette Chassagne is listed as an Assistant Professor at École des Mines de Saint-Étienne.
No application deadline, portal, or detailed eligibility list is provided in the post. Interested applicants should contact the supervisors directly for more information about the project and application process.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.