Deep Learning for 4D Lung MRI: Evaluating Lung Function and Dynamics

Friday 24th October 2025

Contact Email for the Job Positing dima.rodriguez@universite-paris-saclay.fr
Organization Paris-Saclay University
Location Orsay, France
Title Deep Learning for 4D Lung MRI: Evaluating Lung Function and Dynamics
URL https://v-lf-spiro3d.eu
Closing date Jan 31, 2026
Description Keywords: Machine Learning, Magnetic Resonance Imaging, Registration, Segmentation, Biomarker Discovery, Lung Dynamics, Respiratory Function
Duration: 18 months
Start Date: February 2026 (flexible)
Host Laboratory: Laboratoire d'imagerie médicale multimodale (BioMaps)
Collaborations : V|LF Spiro 3D European consortium, MICS Centrale-Supélec
Description:
The European V|LF Spiro 3D consortium seeks to transform pulmonary function assessment by characterizing lung structure and dynamics through magnetic resonance imaging (MRI).
As a post doctoral researcher, you will operate within a highly interdisciplinary environment that brings together clinicians, radiologists, physicists, and data scientists. Your core mission is to conceive and embed state of the art machine learning techniques into the 3D MR spirometry workflow. This involves redesigning each stage of the current image processing pipeline - from segmentation to biomarker discovery- in order to advance the 3D spirometry technique integration into the clinical workflow.
The role sits at the interface of methodology development and direct clinical application. You will:
• Design and implement novel deep learning architectures tailored to dynamic lung MRI data.
• Leverage a substantial database of dynamic pulmonary MRIs acquired within the consortium to train and validate the implemented models.
Through this work you will contribute to tangible health care advancements, gain hands on experience in translational research, and explore cutting edge applications of deep learning in medical imaging. This position provides a valuable chance to contribute to advances in lung diagnostics.
Qualifications:
• Strong machine learning background.
• Excellent programming skills.
• Experience with image processing.
• Interest in clinical challenges and ability to work in multidisciplinary teams.
• Strong written and oral communication skills.
• Experience with medical imaging is not mandatory but beneficial.

Contact: dima.rodriguez@universite-paris-saclay.fr
Further information about the project’s scope, details and objectives can be shared upon request.
Applications will be reviewed on a rolling basis until the position is filled.