Job offer

l'institut du thorax, INSERM, CNRS, Nantes Université; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research institute in France is seeking a postdoctoral fellow to join their team in medical Imaging and Artificial Intelligence. The position involves proposing detection methods for intracranial aneurysms using deep learning approaches on 3D mesh representations. Candidates must hold a Ph.D. in Mathematics, Computer Science, or Machine Learning. Competencies in Python and C/C++ programming are essential, along with scientific writing skills. The position is temporary, full-time, with the possibility of an extension.

Qualifications

• Must hold a Ph.D. degree in Mathematics / Computer science or Machine Learning.
• Be able to work within a multidisciplinary project.
• Good writing skills (progress reports, scientific articles).
• Scientific rigor.
• Be fluent in English, master technical and scientific notions.

Responsabilités

• Propose methods for intracranial aneurysms detection and vascular tree characterization.
• Conduct a study on aneurysm detection and vasculature characterization on 3D meshes.
• Work on 3D mesh representations of the vascular trees.
• Improve the synthetic model of the vasculature.
• Perform numerical simulations on a GPU HPC cluster.

Connaissances

Python

C/C++

Deep Learning Frameworks (Keras, TensorFlow, PyTorch)

Mathematics

Machine Learning

Scientific writing

Teamwork

Formation

Ph.D. in Mathematics / Computer science or Machine Learning

Description du poste

Organisation/Company l'institut du thorax, INSERM, CNRS, Nantes Université Department the research unit of l'institut du thorax Research Field Computer science Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Mar 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38h30 Offer Starting Date 1 Jun 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

The post-doctoral fellow will join the research team Iat l'institut du thorax - ITX in Nantes, France, under the supervision of Florent Autrusseau ( http://www.polytech.univ-nantes.fr/autrusseau-f/ ) and Laurence Rouet (Siemens Healthineers).

The ITX (INSERM, CNRS & Nantes University) isa public expert center devoted to patient care, translational research and training in cardiovascular, respiratory and metabolic diseases.

The laboratory supports strong teamwork as well as individual career development.

In the context of a research project, we aim to propose an automatic aneurysm detection operating on 3D meshes. We are interested in exploring/characterizing the brain vascular tree, and more precisely, to characterize the brain arteries, classify the major cerebral bifurcations and automatically detect intracranial aneurysms using deep learning approaches. During this post-doc, 3D meshes representations of various acquisitions modalities (MRA-TOF, CTA, 3DRA) will be used. We will mostly focus on the major arteries and bifurcations forming the Circle of Willis.

We are thus looking for a young researcher (Ph.D degree required), who may be interested in pursuing a postdoctoral internship (one year position with a possible extension) on medical Imaging and Artificial Intelligence.

Main Activities

• Propose methods for intracranial aneurysms detection and vascular tree characterization (based on Deep Learning approaches).
• In the framework of this project, we will collect thousands of segmented MRA-TOF as well as 3DRA and CTA acquisitions, from more than 60 French University hospitals.
• The post-doc fellow will be expected to conduct a thorough study on aneurysm detection and vasculature characterization (of both arteries and aneurysm sacs) on 3D meshes.
• The post-doc fellow will be expected to work on 3D mesh representations of the vascular trees (and hence propose modality agnostic detection/characterization methods).
• A full synthetic model of the vasculature will be exploited to train the neural networks (see: "Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario" in IEEE-TMI 2024, and patent" Method for Recognizing Bifurcations in a Vascular Tree, Associated Methods and Devices).
• Bring various improvements on the synthetic model (vascular tree /aneurysm shape)
• Numerical simulations will be performed on a GPU HPC cluster.
• Programming in Python, C/C++ is a plus.
• Possible co-supervision of Master’s and/or PhD’s students (on a similar topic).

Where to apply

E-mail [e-mail]

Requirements

Research Field Computer science Education Level PhD or equivalent

Skills/Qualifications

• Must hold a Ph.D. degree in Mathematics / Computer science or Machine Learning.
• Be able to work within a multidisciplinary project.
• Be autonomous, but yet, have the ability to work in a team.
• Good writing skills (progress reports, scientific articles).
• Scientific rigor.
• Be fluent in English, master technical and scientific notions.
• Strong programming skills (Python, C/C++) / Expertise with python Deep Learning Frameworks (Keras, TensorFlow or PyTorch)