General information
Organisation
The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Reference
2026-39207
Division description
CEA-Leti (Laboratory of Electronics and Information Technology) in Grenoble is a world-leading technological research center for emerging technologies, whose primary mission is to transfer innovative solutions to industrial partnerships.
Description de l'unité
Within the CEA-Leti, our Laboratory develops imaging systems and associated analyses for applications in biology, healthcare, and the environment.
Thanks to its multidisciplinary expertise in optical instrumentation, signal processing, and image processing, the laboratory is pioneering the development of new non-conventional imaging modalities, such as holographic imaging. The phase-imaging systems developed in the laboratory are user -friendly, compact, and enable long-term observation of non-absorbing biological samples.
Position description
Category
Mathematics, information, scientific, software
Contract
Fixed-term contract
Job title
Development of AI algorithms for the analysis of 3D multi-scattering biological samples
Socio-professional category
Executive
Contract duration (months)
30
Job description
The laboratory has recently developed HoloPhase3D, a 3D holographic microscope that enables long-time observation of complex, highly scattering biological objects (such as mouse embryos and organoids). This microscope is coupled with multilayer algorithms for 3D image reconstruction and AI-based analysis for the automatic segmentation of cells as well as certain intracellular structures. However, the segmentation of specific structures (e.g. cell nuclei) remains a major challenge, as limited axial (z) resolution and contrast do not allow for robust contour definition.
In this context, the current microscope will be integrated with an epifluorescence optical channel allowing the visualization of intracellular structures using fluorescent markers. To support the development of the analysis, you will be responsible for developing neural networks dedicated to the detection and segmentation of various fluorescently labeled structures in 3D, as well as for quantifying associated metrics in phase imaging.
More specifically, the mission will consist of:
- Designing and developing AI algorithms for virtual staining of phase images from fluorescence images
- Applying these new algorithms to time-lapse images for performance validation and morphological analysis in label-free conditions
- Proposing improvements for the optimization of algorithm performance and integration into the existing analysis code
Applicant Profile
Required skills
- Engineering degree and/or PhD in signal processing/image processing/artificial intelligence/or data science, with a strong interest in biomedical imaging
- Solid experience in deep learning for image processing (Python) and image segmentation
- Successful experience in a bio-imaging group and/or in 3D image segmentation would be an asset
- Proficiency in French and/or English (spoken and written), with clear and effective communication skills
- Ability to work within a multidisciplinary team
Position location
Site
Grenoble
Job location
France, Auvergne-Rhône-Alpes, Isère (38)
Location
Grenoble
Candidate criteria
Languages
English (Fluent)
Requester
Position start date
01/06/2026
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