PINKCC: Precision Imaging as a New Key in Cancer Care

📍 PINKCC Lab, Montpellier Cancer Research Institute, Montpellier, France

🕒 Full-time | 2-year contract  | Start date: autumn 2026

💼 We are expanding

Thanks to new grant funding, we are recruiting an additional postdoctoral researcher to join our growing, interdisciplinary team.

🔬 Project Overview

The PINKCC Lab develops deep learning, data fusion, and medical image analysis methods to improve cancer prognosis prediction in an objective and interpretable way. Our work centers on the computational treatment of medical data in oncology, with a strong focus on ovarian cancer (HGSOC).

The core scientific challenge is multimodal integration: rather than treating each modality independently, we learn modality-specific representations and combine them to capture complementary and synergistic information across CT, MRI, histopathology whole-slide images, multi-omics profiles, and clinical variables. A central question is which modalities to fuse, at what stage of the learning process, and through which strategies, in order to model both intra-modality patterns and inter-modality relationships, and ultimately deliver more accurate and robust survival predictions.

🎯 About the Position

We are seeking a senior, highly autonomous postdoctoral researcher with strong computational expertise in deep learning to co-lead the development of our multimodal data integration work: feature extraction, representation learning, and fusion strategies across imaging and multi-omics data.

The successful candidate will work at the interface of medical modalities, artificial intelligence, and translational oncology.

Your responsibilities will include:

• Designing and implementing robust methods and tools for multimodal data integration.
• Building and maintaining the state of the art on multimodal learning relevant to our problems.
• Working hands-on with several modalities: histopathology (pathomics), radiology (radiomics), omics, and clinical data.
• Mentoring BSc, MSc, and PhD students: guiding them scientifically, introducing relevant concepts, analyzing results together, and sharing good research practices.
• Supporting the team on scientific writing: co-authoring papers, reviewing manuscripts and presentations, and helping students through the publication process.