Post-doctoral position on the development of a generic 3D mesh intracranial aneurysms detection method using deep learning and synthetic vascular models

https://umr1087.univ-nantes.fr/medias/photo/capture-d-ecran-2026-01-23-113656_1769164636750
  • From 23 January 2026 to 31 March 2026
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Initial duration of the contract : 13 months (with possible extensions)

The post-doctoral fellow will join the research Team I at l'institut du thorax in Nantes, France, under the supervision of Florent Autrusseau and Laurence Rouet (Siemens Healthineers).

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.
Within the University of Nantes, 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.


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Updated on 23 January 2026.