PhD position Advanced FFT-based crystal plasticity framework for microstructure-sensitive mechanical behaviors
19 Mar 2026
Job Information
- Organisation/Company
LEM3- Research Field
Engineering- Researcher Profile
First Stage Researcher (R1)- Positions
PhD Positions- Application Deadline
30 Jun 2026 - 00:00 (Europe/Paris)- Country
France- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
38h30- Offer Starting Date
1 Sep 2026- Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme- Reference Number
PEPR-DIADEM- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The present PhD proposal is part of the project AMMETIS[1] (AI-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced characterization platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments will provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking microstructural features to macroscopic mechanical behavior.
The objective of this PhD project is to develop advanced mesoscopic crystal plasticity models capable of capturing microstructure-dependent plastic deformation mechanisms. Classical crystal plasticity models provide a powerful framework to describe anisotropic plasticity in crystalline materials, but they rely on local constitutive laws that cannot fully capture key physical phenomena such as strain localization, dislocation accumulation near interfaces or influence of microstructural length scales. To overcome these limitations, the project will focus on the development of non-local crystal plasticity formulations incorporating internal length scales associated with dislocation structures and microstructural interfaces (like grain boundaries).
Based on recent developments by the project team regarding advanced crystal plasticity models, different modeling strategies will be explored, including strain gradient plasticity [1,8,9], micromorphic approaches [2], and mesoscale field dislocation mechanics [3-5]. The proposed models will be calibrated and validated using high-resolution experimental measurements obtained within the AMMETIS project, including HR-DIC, HR-EBSD and nanoindentation mapping, providing detailed information on strain localization, lattice rotations and local mechanical properties.
The developed models will be implemented in AMITEX-FFT [6,7], a massively parallel FFT-based simulation platform for polycrystalline plasticity, enabling efficient simulation of the mechanical response of realistic 3D microstructures. These simulations will be used to generate a large database linking microstructural descriptors to macroscopic mechanical behavior. This database will be used for the development of AI-based surrogate models enabling fast prediction of material properties at the structural scale within the AMMETIS framework.
Overall, this PhD project aims to contribute to the development of next-generation predictive tools capable of linking microstructure, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials.
[1] https://www.pepr-diadem.fr/projet/ammetis-2/
[2] https://www.pepr-diadem.fr/
Where to apply
Mohamed.JEBAHI@ensam.eu
Requirements
- Research Field
- Engineering
- Education Level
- Master Degree or equivalent
Skills/Qualifications
- Master’s degree (or equivalent) in Mechanical Engineering, Materials Science Engineering, Applied Mathematics or Computational Mechanics.
- Solid background in continuum mechanics and advanced plasticity modeling
- Strong interest in micromechanics and microstructure-based modeling
- Experience with numerical methods for PDEs
- Programming skills in Python (knowledge of C++, Fortran or HPC is a plus)
- Scientific curiosity and critical thinking
- Ability to work in interdisciplinary environments
- Motivation for collaborative academic-industrial research
- Languages
- ENGLISH
- Level
- Excellent
Internal Application form(s) needed
PropositionThese_LEM3_CEA_VF.pdf
English
(507.5 KB - PDF)
Download
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- LEM3
- Country
- France
- City
- METZ
- Postal Code
- 57070
- Street
- 7 rue Félix Savart
- Geofield
Contact
- City
METZ- Website
https://lem3.univ-lorraine.fr/- Street
7 rue Félix Savart- Postal Code
57070
mohamed.jebahi@univ-lorraine.fr
STATUS: EXPIRED
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