PhD in AI-Driven Multiphase Combustion CFD
IFP Energies nouvelles (IFPEN)
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Résumé du poste
IFP Energies nouvelles (IFPEN) invites applications for a PhD student to extend machine learning accelerated chemical kinetics to multiphase SAF combustion in gas turbine environments. The project builds on CORIA/IFPEN methodologies, focusing on spray combustion dynamics and data-driven acceleration techniques.
The candidate will work under the supervision of Prof. Luc VERVISCH at CORIA and join a vibrant, international research setting with access to advanced laboratory and computing
Qualifications
- Master's degree in CFD, physics and/or numerical modelling.
- English proficiency at an excellent level.
Connaissances
Formation
Description du poste
IFP Energies nouvelles (IFPEN) invites applications for a PhD student to extend machine learning accelerated chemical kinetics to multiphase SAF combustion in gas turbine environments. The project builds on CORIA/IFPEN methodologies, focusing on spray combustion dynamics and data-driven acceleration techniques.
The candidate will work under the supervision of Prof. Luc VERVISCH at CORIA and join a vibrant, international research setting with access to advanced laboratory and computing
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