Sand-bentonite mixtures behavior under chemical, hydraulic and gas loadings (PsDENV25-1) H/F

IRSN; Nanterre; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

Un organisme de recherche de premier plan recrute un post-doctorant pour étudier le comportement des mélanges de bentonite. Le candidat devra être expert en microtomographie X et en analyse d'images, tout en contribuant à la recherche liée à la gestion des déchets radioactifs. Cette opportunité offre un environnement stimulant avec une forte composante de recherche et de développement.

Qualifications

• Doctorat requis dans le domaine pertinent.
• Compétences en microtomographie et analyse d'images nécessaires.

Responsabilités

• Caractériser la microstructure des mélanges de bentonite sous charges.
• Développer des outils d'analyse d'images pour la segmentation.

Connaissances

X-ray microtomography

Digital Image Correlation

Formation

PhD en Ingénierie Civile, Géotechnique ou Géologique

Description du poste

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Sand-bentonite mixtures behavior under chemical, hydraulic and gas loadings (PsDENV25-1) H/F, Nanterre

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Client:

IRSN

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

32642df42f38

Job Views:

3

Posted:

30.06.2025

Expiry Date:

14.08.2025

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Job Description:

Mission

The work proposed in this post-doctoral fellowship as part of EURAD 2 (a European partnership) involves characterizing the microstructure of Bentonite sand mixtures under hydraulic, gas, and chemical loadings using X-ray microtomography (X-ray micro-CT).

This includes using PMMA cell prototypes to analyze the behavior of compacted mixtures, conducting gas injection tests at constant volume with a hyperalkaline solution, and performing microstructural analysis at various stages. Regular X-ray micro-CT scans will monitor the evolution of macropores, heterogeneous zones, and pathways formed due to void filling by bentonite between sand particles. The prototype may be upgraded with additional sensors for better data collection.

An important aspect involves developing image analysis tools to improve segmentation of low contrast grey level areas, such as saturated and desaturated pores. Techniques may include existing 2D tools like texture analysis, random walkers, and 3D active contour methods, or new approaches based on neural networks (CNN/DL). The developed methods should be shared with the scientific community as Fiji software plug-ins.

Qualifications include a PhD in Civil, Geotechnical, or Geological Engineering, with proficiency in X-ray microtomography and Digital Image Correlation.

The candidate will join the LETIS lab (Research laboratory on transfers and interactions in underground environment) within ASNR, the French regulator authority supporting research for the Cigeo project, which involves deep geological disposal of radioactive waste.