Postdoctoral Position – Computational Imaging for Ovarian Cancer
Contexte et mission :
Project Overview :
This project focuses on developing machine learning, data fusion, and medical image analysis methods to objectively improve cancer prognosis prediction. The project is centered on computational treatment of medical images (CT, MRIs, histology slides).
About the Position :
We are seeking a highly motivated postdoctoral researcher with strong computational expertise to lead the development of models integrating imaging and multi-omics data. The successful
candidate will work at the interface of medical imaging, artificial intelligence, and translational oncology.
Your responsibilities will include:
-Extracting and integrating histopathology (pathomics) and radiology (radiomics) data
(work on deep features, clustering, habitat imaging…).
-Developing and validating models for virtual biopsy, digital twin
-Designing robust tools for imaging data pre-processing.
-Contributing to national and European research grants.
-Supervising and mentoring BSc, MSc, and PhD students on innovative research projects.
What We Offer:
– Fully funded postdoctoral position (up to 3.5 years) within an internationally recognized
research environment.
– Opportunity to work within a dynamic, interdisciplinary, and international team at the
crossroads of AI, oncology, and precision imaging.
– Access to cutting-edge platforms, including high-field MRI (3T/9.4T), spatial histology,
transcriptomics, proteomics, and imaging mass cytometry.
Full-time | 1-year contract renewable up to 3.5 years | Start date: late 2025 / early 2026
Diplômes requis :
Please do not apply if you lack hands-on experience with medical imaging (radiology or digital pathology). – PhD in Biomedical Engineering, Computer Science, Medical Imaging, or related disciplines. – Strong programming skills: Python, Machine Learning, Deep Learning (e.g., Scikit-learn, TensorFlow, PyTorch). – Demonstrated experience with high-dimensional medical imaging (radiomics/pathomics), including tools such as PyRadiomics and QuPath, histomix. – Proven track record of peer-reviewed publications. – Excellent communication and organizational skills.
Compétences requises :
Please submit: – A detailed cover letter outlining your motivation and relevant experience. – Your CV, including a list of publications. – Contact information for two referees. – Portfolio or project examples (optional). Important: Applications must be sent by email only (please do not apply via LinkedIn).
Rémunération :
Competitive salary aligned with INSERM standards, based on experience.
Structure :
PINKCC Lab, Precision Imaging as a New Key in Cancer Care
Institut du Cancer de Montpellier, France