Multiscale Modeling of Discontinuous Precipitation in Ni-Cr Alloys
PhD position to develop multiscale models of discontinuous precipitation in Ni-Cr alloys using phase-field methods and atomistic simulations.
Best for:Best for materials science PhD candidates with expertise in physical metallurgy, phase transformations, and computational modeling (e.g., Fortran/Python).
Overview
This PhD position at Institut Jean Lamour (IJL) focuses on modeling the complex phenomenon of discontinuous precipitation (DP) in Ni-Cr alloys. DP is a solid-state phase transformation critical to understanding material degradation in mechanical and corrosion properties. The project, funded under the ANR ADISCO programme, aims to elucidate the physical mechanisms governing DP by integrating grain boundary topology, anisotropic properties, and phase-field modeling. The successful candidate will contribute to parameterizing models using atomistic simulations and experimental data, ultimately interpreting experimental observations. Training in advanced computational techniques (e.g., molecular statics, CALPHAD, phase-field methods) and characterization methods (e.g., SEM, TEM) will be provided.
What you'll do
- Develop and parameterize multiscale models to simulate discontinuous precipitation in Ni-Cr alloys using phase-field methods.
- Integrate atomistic simulation data and experimental observations to refine model parameters.
- Analyze grain boundary topology and anisotropic properties to improve mechanistic understanding of DP.
- Contribute to interpreting experimental findings on DP in Ni-Cr alloys.
- Acquire training in advanced computational techniques (e.g., molecular statics, CALPHAD, phase-field methods).
- Gain hands-on experience with characterization techniques (e.g., SEM, TEM) based on candidate interests.
- Collaborate with research groups to validate and refine models against experimental data.
Requirements
Degree required: Master’s degree in Physics or Materials Science, with a focus on physical metallurgy, phase transformations, or related fields.
Degree offered: PhD
Language: English proficiency (written and spoken) is mandatory. French proficiency is advantageous but not strictly required.
Instruction: French and English
- Strong background in physical metallurgy, phase transformations, and thermodynamics.
- Experience with computational materials science (e.g., ab initio calculations, molecular statics, micromecanics).
- Proficiency in programming (Fortran, Python) and familiarity with phase-field modeling approaches.
- Knowledge of atomistic simulations and data integration techniques.
- Open to candidates from any nationality.
- No specific residency or age restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-10-21
Applicants must submit their application through the CNRS employment portal. The application should include a CV, a cover letter, and academic transcripts. Additional documents such as research proposals or recommendation letters may be requested.
- CV
- Cover letter
- Academic transcripts (BSc and MSc)
- Proof of English proficiency (if applicable)
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