19 Jan 2024
Job Information
- Organisation/Company
INSERM DR Grand Ouest- Research Field
Computer science- Researcher Profile
Recognised Researcher (R2)
Established Researcher (R3)- Country
France- Application Deadline
8 Mar 2024 - 23:59 (Europe/Paris)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
38.5- Is the job funded through the EU Research Framework Programme?
Not funded by an 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 I at l'institut du thorax - ITX in Nantes, France, under the supervision of Florent Autrusseau (http://www.polytech.univ-nantes.fr/autrusseau-f/ ). 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 Institut du Thorax (ITX, UMR 1087), the Universities of Grenoble, Rennes, and Bordeaux, but also 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, in order to prevent cerebrovascular accidents, it is important to study the blood flow at the major bifurcations along the cerebral vascular tree (we mostly 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 postdoctoral internship (one year position with a possible extension) on medical Imaging and Artificial Intelligence.
MAIN ACTIVITIES
· Propose methods for vascular tree segmentation, bifurcations recognition, and intracranial aneurysms detection (based on Deep Learning approaches).
· In the framework of this project, we will collect thousands of segmented MRA-TOF acquisitions, from more than 60 French University hospitals. The post-doc fellow will be expected to conduct a thorough study of the bifurcation recognition task and the aneurysm detection task in the framework of this multi-center study.
· A full synthetic model of the vasculature will be exploited to train the neural networks (see : "Toward a 3D Arterial Tree Bifurcation Model for Intra-Cranial Aneurysm Detection and Segmentation" ICPR22, 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)
· Numerical simulations will be performed on a GPU HPC cluster.
· Programming in Python, C/C++.
ASSOCIATED ACTIVITIES
Contribute to the supervision of PhD students.
HOSTING UNIT
Name | The research unit of l’institut du thorax |
Director | Richard Redon |
Composition | 200 people |
Requirements
- Research Field
- Computer science
- Education Level
- PhD or equivalent
Skills/Qualifications
· Must hold an engineering degree and a Ph.D. degree on Computer science / Machine Learning
· Strong programing skills (Python, C/C++).
· Be able to work within a pluridisciplinary 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.
Specific Requirements
Various trips in France and/or abroad.
- Languages
- FRENCH
- Level
- Good
- Languages
- ENGLISH
- Level
- Good
Additional Information
Selection process
Applicants must send a CV and a cover letter to: Florent Autrusseau
Contact for further information (name, telephone/mail): Florent Autrusseau, F [email protected] , +33.(0)2.40.68.31.56
- Website for additional job details
https://umr1087.univ-nantes.fr/
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Inserm U1087
- Country
- France
- City
- NANTES
- Postal Code
- 44000
- Street
- 8 quai Moncousu
- Geofield
Where to apply
[email protected]
Contact
- City
NANTES- Website
https://grand-ouest.inserm.fr/- Street
24 Boulevard Vincent Gâche- Postal Code
44200
STATUS: EXPIRED