Post-doctoral position on Intra-Cranial Aneurysm Detection and vasculature Characterization via[...]

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

Résumé du poste

A research institute in Nantes is seeking a post-doctoral fellow to study brain vascular structures and characterize arterial conditions using medical imaging and deep learning methods. The successful candidate will hold a Ph.D. and possess strong programming skills in Python and C/C++. Responsibilities include method proposal for aneurysm detection and collaboration with multiple hospitals. The position is on a fixed-term contract for 13 months, with a possible extension.

Qualifications

• Ph.D. degree required for this post-doctoral position.
• Able to work autonomously and in a team.
• Fluent in English and master technical concepts.

Responsabilités

• Propose methods for aneurysms detection and vascular tree characterization.
• Collect MRA-TOF, 3DRA, and CTA acquisitions from multiple hospitals.
• Work on 3D mesh representations of vascular trees.
• Conduct numerical simulations on a GPU HPC cluster.

Connaissances

Strong programming skills (Python, C/C++)

Fluent in English

Scientific rigor

Good writing skills (reports, articles)

Ability to work within a multidisciplinary project

Formation

Ph.D. degree in Mathematics / Computer Science or Machine Learning

Outils

Python deep-learning frameworks (Keras, TensorFlow or PyTorch)

Description du poste

Offer Description

The post-doctoral fellow will join the research team I at l'institut du thorax research lab - ITX in Nantes, France, under the supervision of Florent Autrusseau.

The ITX (INSERM, CNRS & Nantes University) is a 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 wide national project, involving various partners such as the University Hospital in Nantes (neuro‑radiology department) and the l’institut du thorax (ITX, INSERM UMR 1087), the Universities of Grenoble, Rennes, and Bordeaux, and several companies (General Electric Healthcare, Sim&Cure, Milvue, Medtronic), 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.

Effectively, to prevent cerebrovascular accidents, it is important to study the blood flow at the major bifurcations along the cerebral vascular tree (we most focus on the major arteries forming the Circle of Willis).

We are thus looking for a young researcher (Ph.D. degree required), who may be interested in pursuing a post‑doctoral 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).
• Collect thousands of segmented MRA‑TOF as well as 3DRA and CTA acquisitions from more than 60 French university hospitals, and conduct a thorough study on aneurysm detection and vasculature characterization (of both arteries and aneurysm sacs).
• Work on 3D mesh representations of the vascular trees (and hence propose modality‑agnostic detection/characterization methods).
• Exploit a full synthetic model of the vasculature to train 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 (vasculature shape / aneurysm / background noise modelling).
• Perform numerical simulations on a GPU HPC cluster.
• Program in Python, C/C++.
• Possibly co‑supervise master’s and/or Ph.D. students on a similar topic.

Where to apply

E‑mail: [e-mail]

Requirements

• 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).
• Speak English at an excellent level.

Additional Information

• Type: Fixed‑term contract
• Duration: 13 months (with possible extensions)
• Salary: Upon experience and according to INSERM salary standards
• Envisaged start date: February 2026