Phase Field Modeling of Martensitic Transformation in TRIP-Enabled High-Entropy Alloys
Develop computational models to simulate martensitic transformations in high-entropy alloys for improved mechanical properties.
Best for:Best for physics or materials science graduates with expertise in phase transformations, computational modeling, and programming (Fortran/Python).
Overview
This PhD position focuses on advancing the understanding of phase transformations in high-entropy alloys (HEAs) with a transformation-induced plasticity (TRIP) effect. The project, funded under the ANR BADTRIP programme, aims to develop and validate a 3D phase-field model to describe martensitic nucleation, growth, and interaction, as well as the coupling between transformation strains and plastic relaxation in the β-matrix. The research will be conducted in collaboration with the Laboratoire d'Étude des Microstructures (LEM), a joint CNRS-ONERA unit. The successful candidate will contribute to designing next-generation high-temperature structural materials by predicting TRIP behavior through physics-based criteria. The work combines computational modeling, simulation, and experimental validation with industrial and academic partners.
What you'll do
- Develop and refine a multi-phase-field model to simulate martensitic transformations, including relaxation plasticity in the β-matrix.
- Perform simulations to study the impact of mechanical loading on microstructural evolution in HEAs.
- Create a cellular automaton model to predict the mechanical properties of polycrystalline HEAs at larger scales.
- Analyze and compare 3D simulation results with experimental data provided by the BADTRIP consortium.
- Collaborate with the Laboratoire d'Étude des Microstructures (LEM) and other project partners to integrate findings into alloy design criteria.
Requirements
Degree required: Master's degree in Physics or Materials Science, preferably with knowledge in phase transformations, non-equilibrium thermodynamics, atomic diffusion, and micromechanics.
Degree offered: PhD
Language: English proficiency (written and spoken) at a level suitable for academic research; French proficiency is advantageous but not mandatory.
Instruction: French (primary) and English (secondary)
- Expertise in phase transformations and metallurgy physics
- Experience with scientific computing for materials
- Programming skills in Fortran or Python
- Familiarity with phase-field modeling techniques
- Strong background in computational materials science
- No specific nationality restrictions, but access to the laboratory may require security clearance (ZRR zone access).
- Applicants must have completed a Master’s degree in Physics or Materials Science by the start date.
- No age restrictions, but typical eligibility for French doctoral programmes applies.
Funding & terms
How to apply
Deadline: 2026-10-21
Applicants must submit their CV, a cover letter detailing their motivation and qualifications, and a research proposal outlining their approach to the project. Additional documents may include academic transcripts and letters of recommendation. Applications should be sent via the CNRS employment portal.
- CV
- Cover letter
- Research proposal
- Academic transcripts (Bachelor’s and Master’s degrees)
- Letters of recommendation (typically 2-3)
Contact
Recruitment Office· HR Contact
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