Machine learning and radiogenomics in Neuro-Oncology

Type de poste
Niveau d'étude minimal
Durée du poste
Contrat renouvelable
Contrat non renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce
Nom de la structure d'accueil

Centre CEA Saclay
RN 306
91191 Gif-sur-Yvette

Cathy Philippe
Vincent Frouin
Email du/des contacts

NeuroSpin is an outstanding research center on the Human brain. Part of the CEA (Atomic Energy Commission) and Paris-Saclay University, the NeuroSpin teams are leaders in very high field MRI and carry out studies in fundamental and clinical neurosciences. The BrainOmics team works in imaging-genetics, at the crossroad where neuroinformatics, bioinformatics and machine learning meet and in collaboration with Gustave Roussy, ICM-La Pitié-Salpétrière, Mondor Biomedical Research Institute.

In the BrainOmics team at Neurospin, the post-doc researcher will work on the conception of machine learning models incorporating multi-modal MRI radiomic and multi-omic data. Moreover, he/she will take part to the analysis of patients cohorts in imaging-genetics, about neuro-oncology pathologies.

Post-doc Activities

  • Data extraction and qualitfication for each modality separately.
  • Train and test machine learning prediction models for each modality.
  • Radiogenomic data integration.
  • Applications in neuro-oncology : Primary CNS Lymphoma, pediatric High Grade Glioma.

Searched profile
PhD in one of the following fields : Data Science, Machine Learning, Applied Statistics, Radiomics, Radiogenomics, Neuro-Imaging, Genomics. Fluent in english.

Job-related skills

  • Expertise in statistics and applied mathematics
  • Programming : Python, R, Matlab
  • Curiosity, taste for multi-disciplinary environment and for innovation.
  • Good communication skills, good personal relationship skills.
  • Knowledge in biomedical image analysis and/or genetics and/or oncology is an asset.

Behavioral skills
Good team player, strong motivation, rigor, autonomy and resourcefulness.

Duration : 2 years, starting in September 2019.
Location : NeuroSpin-CEA, Plateau de Saclay, Gif-sur-Yvette.
Please email your CV + cover letter by May 30th, 2019 to and

Aerts et al. (2014). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications.
Kickingereder et al. (2016). Radiogenomics of Glioblastoma: Machine Learning–based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features. Radiology.

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