Research Scientist in Electronics & Instrumentation (Bordeaux)
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Required Skills & Profile
Technical Skills
Expertise in measurement acquisition and signal-processing systems
Control and operation of electronic boards
Integration and control of electronic subsystems
Sensor design; experience in radiofrequency systems is a plus
Practical aptitude for basic electrical or mechanical troubleshooting
Basic knowledge of Magnetic Resonance is appreciated
Education & Experience
PhD required preferably in Electrical Engineering Electronics or Physics
Strong knowledge of Magnetic Resonance is highly desirable
Openness to biological applications and biochemical methods is strongly appreciated even without prior experience
Soft Skills
High level of scientific autonomy
Strong oral and written communication skills in French and English
Ability to interact effectively with multidisciplinary research 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 dedicated to the construction of a low-field MRI demonstrator. Funded by Bpifrance the project brings together Chipiron (Paris ) and the Centre for Magnetic Resonance at the University of Bordeaux ().
The application context of the project is the development of a preclinical MRI system for small-animal imaging with the objective of breast cancer detection monitoring and the optimized integration of contrast agents.
Research Objectives
The objective of this position is to achieve full operability of a new low-field MRI instrument enabling the acquisition of high-quality images under preclinical conditions with acquisition times compatible with in vivo small-animal imaging.
The system is composed of:
A 10 mT magnet
Magnetic field gradients
A radiofrequency chain operating in the 10 kHz1 MHz range (transmission and reception)
A spectrometer (console)
The recruited researcher will be responsible for ensuring communication between the different system components enabling the design and implementation of acquisition protocols. This work will be carried out in close collaboration with a second researcher specialized in MRI methods to jointly develop acquisition and post-processing solutions.
Scientific Scope & Themes
This project lies at the intersection of:
Electronics
Magnetism
Magnetic Resonance instrumentation
Biological and clinical applications
within a strong universityindustry collaboration framework.
Main Activities
Assembly of instrument components
On-site characterization of system components
Design and construction of radiofrequency coils and electronics (transmit and receive)
Implementation of communication between system components on the acquisition console
Signal and image measurements and development of instrumentation improvement processes
Setup and optimization of acquisition protocols involving contrast agents
Cooperation with an MRI methods specialist for acquisition and post-processing protocol development
Close interaction with Chipiron to support the emergence of new product solutions and their future commercialization
Research Environment
The RMSB (UMR 5536) has recognized expertise in low-field MRI particularly Overhauser-enhanced MRI (OMRI).
The research environment includes:
Physicists engineers and physico-chemists with experience in developing new instruments and acquisition/post-processing protocols
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
