General information
Offer title : Post-doctoral candidate (M/F) in MRI image processing and artificial intelligence (H/F)
Reference : UMR7348-CARGUI-003
Number of position : 1
Workplace : POITIERS CEDEX
Date of publication : 22 August 2025
Type of Contract : Researcher in FTC
Contract Period : 12 months
Expected date of employment : 3 November 2025
Proportion of work : Full Time
Remuneration : 2,991.58€ to €3,417.33 monthly gross salary
Desired level of education : Doctorate
Experience required : 1 to 4 years
Section(s) CN : 51 - Data and biological systems modelling and analysis: computer, mathematical and physical approaches
Missions
The aim of this position is to develop innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be proposed for improving the accuracy of medical diagnoses, identifying biomarkers and understanding glioma features in MRI data.
Activities
The successful candidate will work in particular on :
- Development of a pre-processing pipeline for high-field MRI medical data (normalization, denoising, spatial registration) to optimize the quality and consistency of data used in analyses, and to facilitate the search for biomarkers in 7T images.
- Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification of metabolites obtained in the lesion, and correlation with clinical and anatomo-pathology data.
Skills
Profile: Doctorate in Computer Science or Image and Signal Processing
Skills required:
- Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants)
- Artificial Intelligence skills and deep learning experience
- Proficiency in Tensorflow/Pytorch/scikitlearn deep learning platforms
- Knowledge of biology and medical imaging methods: MRI, MRS
- English: high level
Work Context
The post-doctoral candidate will work on the ultra-high-field platform at Poitiers University Hospital, within the DACTIM-MIS team of the Laboratoire de Mathématiques et Applications (LMA, CNRS 7348) at the University of Poitiers, as part of the GLIOSRM7T regional project, which focuses on pre-surgical characterization of glioma extension using magnetic resonance spectroscopy in 7T MRI. Part of this project involves the development of MRI image processing tools, the implementation of mathematical models for the analysis of spectroscopy data, and the integration and contextualization of multimodal imaging data to aid diagnosis.
The successful candidate will work closely with multidisciplinary teams including radiologists, physicians and engineers, and mathematicians to validate and evaluate the models developed. The results obtained will be compared with clinical/preclinical references and interpreted in a medically relevant way.
Constraints and risks
no riks and constraints