PhD in Plasma‑Assisted Combustion: Reduced‑Order Modeling

Vrije Universiteit Brussel; Belgique; Presencial; EUR 22.000 - 31.000; Tempo integral

Benefícios oferecidos por esta vaga

Home-work commute reimbursement

Group insurance & guaranteed income

Learning & development opportunities

Sport facilities

Campus restaurants

35 days of leave

Resumo da vaga

Vrije Universiteit Brussel seeks a PhD researcher to join the ERC Starting Grant project ESCAPADE, focusing on plasma-assisted combustion with advanced reduced-order modelling. The candidate will build high-fidelity, reduced plasma-chemistry models integrated into CFD environments for ammonia/hydrogen combustion systems.

The project combines state-of-the-art kinetic modelling, machine learning, and mechanism reduction to enable efficient simulations from DNS to LES under diverse operating

Qualificações

• Master's degree in Engineering, Applied Mathematics, Physics, Computational Science or related field.
• Strong background in numerical methods and scientific computing.
• Excellent programming skills in Python, Fortran and/or C++.
• Interest in chemical kinetics, plasma physics, combustion, reduced-order modelling and machine learning.

Conhecimentos

Numerical methods

Scientific computing

Programming (Python)

Programming (Fortran)

Programming (C++)

Machine learning

Formação

Master of Science in Engineering or related field

Ferramentas

Python

Fortran

C++

Descrição da vaga

Vrije Universiteit Brussel seeks a PhD researcher to join the ERC Starting Grant project ESCAPADE, focusing on plasma-assisted combustion with advanced reduced-order modelling. The candidate will build high-fidelity, reduced plasma-chemistry models integrated into CFD environments for ammonia/hydrogen combustion systems.

The project combines state-of-the-art kinetic modelling, machine learning, and mechanism reduction to enable efficient simulations from DNS to LES under diverse operating