Postdoc - Image Analysis for Developmental Neurobiology (M/F)

CNRS - National Center for Scientific Research; France; On-site; EUR 42,000 - 54,000; Full time

Job summary

The Lab of Optics and Biosciences (LOB) at École Polytechnique, Palaiseau, France, is seeking a postdoctoral researcher to develop and optimize automated analysis strategies for multicolor 3D brain images. The role involves handling terabyte-scale datasets and advancing self-supervised or AI-based methods in collaboration with neuroscience questions.

Applicants should hold a Ph.D. in computer vision or related imaging field, with strong Python and AI skills and a passion for interdisciplinary

Qualifications

• Ph.D. in computer vision, biomedical image analysis, or computational biology with a strong focus on imaging.
• Advanced programming skills in Python, statistical learning/AI, and image analysis.
• Ability to work as part of an interdisciplinary team.

Responsibilities

• Develop and optimize new strategies for automated analysis of multicolor 3D images.
• Process large datasets and extract information to answer questions about brain tissue development.
• Collaborate with cross-disciplinary teams across related departments.

Skills

Python

Statistical learning/AI

Image analysis

Education

Ph.D. in computer vision or biomedical image analysis

Job description

Organisation/Company CNRS Department Laboratoire d'optique et biosciences Research Field Mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 2 Dec 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The “Advanced Microscopy and Tissue Physiology” group at the Laboratory of Optics and Biosciences (LOB), École Polytechnique, Palaiseau, France, is seeking a postdoctoral researcher in the analysis of large biological images. The researcher's mission will be to develop and optimize new strategies for the automated analysis of multichannel/multicolor 3D images of mouse brains exceeding one terabyte in size. Building on an initial, already operational pipeline, the goal will be to extract more information more quickly from a wider variety of data, with the aim of answering questions about brain tissue development.

The candidate will work with experimental data collected over the past two years at the LOB, in close connection with the biological questions that motivated the collection of this data. Two complementary topics are initially under consideration: (i) versatile self-supervised learning for the joint detection, segmentation, tracking, and classification of cells in large-volume images, and (ii) multiscale registration between images acquired using different contrast modalities. Partial solutions have been implemented or described in the literature, particularly through statistical learning methods, which will need to be tested and adapted to multicolor data.

As part of a long-standing collaboration between the Advanced Microscopy Group at the LOB at École Polytechnique and the Neurogenesis and Circuit Development Group at the Institut de la Vision, we have developed an imaging technology capable of mapping an entire mouse brain with 3D subcellular resolution using a multicolor Brainbow approach that provides information on cell lineages. We are currently generating multichannel datasets comprising hundreds of billions of voxels, and considerable efforts are underway to process, analyze, and interpret these data, particularly in collaboration with the Department of Computer Science and AI at the University of the Basque Country.

A Ph.D. in computer vision, biomedical image analysis, or computational biology with a strong focus on imaging is required. Advanced programming skills in Python, statistical learning/AI, and image analysis are required. A strong interest in and/or knowledge of microscopy and neuroscience would be an asset. The ability to work as part of an interdisciplinary team is required.