Postdoctoral Position: Multimodal Data Integration for Ovarian Cancer

Tuesday 9th June 2026

Contact Email for the Job Posting: stephanie.nougaret@icm.unicancer.fr
Organization: STEPHANIE NOUGARET
Location: Montpellier, France
Title:  Postdoctoral Position: Multimodal Data Integration for Ovarian Cancer
Closing date: July 16, 2026
Description: 

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.
          • Contributing to national and European research grants.

Required Qualifications

• PhD in Computer Science, Computer Vision, AI, Medical Imaging, or a related discipline.
• At least 3 years of research experience (post-PhD), ideally in an academic or public research setting.

• Solid grasp of deep learning theory and current architectures such as attention mechanisms or Transformers.
  • Strong deep learning engineering skills: able to design, train, debug, and run models end to end, and to read, reproduce, and adapt existing codebases.
    • Strong Python skills and fluency with modern deep learning frameworks: PyTorch, TensorFlow, scikit-learn…
      • Proven track record of peer-reviewed publications.
        • Demonstrated ability to mentor and supervise BSc, MSc, and PhD students in research.
          • Excellent communication and organizational skills.
            • A genuine collaborative mindset and the autonomy expected of a senior researcher.

Nice to Have

• Experience with multimodal data integration.
  • Hands-on experience with radiological imaging modalities (MRI, CT) is a strong plus.
    • Familiarity with medical and biomedical concepts, and with bioinformatics.
      • Experience with survival analysis or prognosis modeling.

What We Offer

• Fully funded 2 years postdoctoral position 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.
    • Competitive salary aligned with INSERM standards, based on experience.
       

How to Apply
Please submit:

• A detailed cover letter outlining your motivation and relevant experience.
  • Your CV, including a list of publications.
    • Contact information for two referees.
      • A short document summarizing and illustrating your main publications and research topics relevant to this application (optional).

To: stephanie.nougaret@icm.unicancer.fr ; margaux.verdier@inserm.fr and marie.pelissier@inserm.fr
Subject: Postdoctoral Application – Multimodal Integration
Applications will be reviewed on a rolling basis. Expected start date: autumn 2026