PhD in Plasma-Assisted Combustion Solver Development

Vrije Universiteit Brussel; Elsene; Hybrid; EUR 24,000 - 36,000; Full time

Benefits offered by this job

Homeworking options

Telework allowance

Internet fee

35 days of leave

Hospitalisation insurance

Commuting reimbursement

Job summary

The Vrije Universiteit Brussel’s FLOW group seeks a PhD candidate to develop reduced-order kinetic models and integrate them into plasma-assisted combustion solvers. The role focuses on modeling plasma–chemistry interactions and validating predictions against experiments in collaboration with international partners.

You will work on state-to-state kinetics, machine learning-based lumping, and multi-physics CFD for ammonia/hydrogen combustion under various operating conditions, with extensive

Qualifications

• Master of Science in Engineering, Applied Mathematics, Physics or a related field is expected.
• Strong background in numerical methods and scientific computing.
• Excellent programming skills in Python, Fortran and/or C++.
• Fluent in written and spoken English.

Responsibilities

• Develop high-fidelity reduced-order models preserving plasma–chemistry interactions.
• Extend in-house plasma-assisted combustion solvers to simulate discharges, chemistry and flames.
• Validate models against experimental benchmark datasets with international partners.

Skills

Numerical methods

Scientific computing

Python

Fortran

C++

Machine learning

English fluency

Education

Master's degree in Engineering

Physics or related field

Computational science

Tools

CFD

Job description

The Vrije Universiteit Brussel’s FLOW group seeks a PhD candidate to develop reduced-order kinetic models and integrate them into plasma-assisted combustion solvers. The role focuses on modeling plasma–chemistry interactions and validating predictions against experiments in collaboration with international partners.

You will work on state-to-state kinetics, machine learning-based lumping, and multi-physics CFD for ammonia/hydrogen combustion under various operating conditions, with extensive