Research Scientist in MRI & Instrumentation (Bordeaux)
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Required Skills & Profile
Technical Skills
Strong expertise in MRI sequence programming
Experience with MRI data acquisition on standard scanners
Advanced skills in raw data processing
Integration of post-processing algorithms including AI-based methods
Practical aptitude for basic electrical or mechanical troubleshooting
Education & Experience
PhD required (Physics Physical Chemistry Imaging or related fields)
Strong background in Magnetic Resonance is mandatory
Interest in biological applications and biochemical methods is highly appreciated
Soft Skills
High level of scientific autonomy
Strong written and oral communication skills (French & English)
Ability to collaborate effectively in multidisciplinary teams
Application Materials
Please submit:
Detailed CV
Digital copy of PhD thesis manuscript
List of publications
At least one letter of recommendation
Location
Centre for Magnetic Resonance of Biological Systems (RMSB UMR 5536)
University of Bordeaux France
In close collaboration with Chipiron (Paris)
Contract
Fixed-term Research Contract (CDD)
Duration: 24 months
Full-time
Salary: 3600 gross per month
Scientific Supervisor
Prof. Eric Thiaudière
University of Bordeaux
Industrial Supervisor
Dr. Dimitri Labat
Chipiron
About the Project REACH
REACH is an industrialacademic R&D project funded by Bpifrance bringing together Chipiron (Paris ) and the RMSB laboratory at the University of Bordeaux.
The project aims to develop a low-field preclinical MRI demonstrator targeting small-animal imaging with a strong focus on breast cancer detection and monitoring and on the optimized integration of contrast agents.
This work is part of Chipirons broader mission to make MRI more accessible more compact and more affordable by rethinking MRI technology at low magnetic field.
Research Objectives
The goal of this position is to achieve full operability of a novel low-field MRI system capable of producing high-quality preclinical images with acquisition times compatible with in vivo small-animal imaging.
The system includes:
A 10 mT magnet
Magnetic field gradients
A radiofrequency chain operating in the 10 kHz 1 MHz range (transmit/receive)
A dedicated sequencing system
The recruited researcher will lead the development implementation and optimization of MRI acquisition protocols with a particular focus on:
Preclinical imaging (small animal)
Exploration of contrast-agentbased protocols
Optimization of image quality (SNR resolution contrast) with minimal acquisition time
Validation of relevant protocols for breast cancer detection and monitoring in animal models
The work will be conducted in close collaboration with a second researcher specialized in electronics and instrumentation enabling joint development of acquisition strategies and system-level improvements.
Scientific Scope & Themes
This project sits at the intersection of:
Low-field magnetic resonance
MRI instrumentation and electronics
Image acquisition and reconstruction
Biomedical and tumor imaging
Contrast-agentbased MRI
Within a strong industryacademia collaboration framework.
Main Activities
MRI sequence implementation and optimization
Post-processing: denoising and image reconstruction algorithms
Comparison with high-field MRI data
Development of low-fieldspecific image processing and AI-based methods
Joint work with an electronics/instrumentation specialist to improve acquisition and post-processing pipelines
Continuous interaction with Chipiron to support technology transfer product development and future commercialization
Research Environment
The RMSB (UMR 5536) is internationally recognized for its expertise in low-field MRI particularly Overhauser-enhanced MRI (OMRI).
The research environment includes:
Physicists engineers and physico-chemists experienced in MRI system development
Access to higher-field MRI platforms through the IBIO biomedical imaging facility
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
