MSCA PhD Researcher: Hydrogen Flame Noise & Dynamics

Polytechnic University of Bari; Italia; On-site; EUR 28,000 - 36,000; Full time

Benefits offered by this job

Mobility allowance

International conferences

Structured training program

Job summary

Czestochowa University of Technology hosts a 36‑month MSCA Doctoral Network project (HyNOISE) focused on prediction and control of hydrogen flame noise. The PhD candidate will employ advanced LES methods, neural network modelling, and virtual chemistry frameworks to study ignition dynamics and flame stability within complex combustion configurations.

The position offers international secondments, collaboration with European gas turbine partners, and a structured training program, with a

Qualifications

• MSc degree or equivalent qualification in mechanical/aerospace engineering or physics.
• MSc in mechanical engineering, aerospace engineering, physics or similar.
• Solid knowledge of fluid mechanics, thermodynamics and reactive flows with CFD modelling and postprocessing tools.
• Author/co-author of at least one scientific paper.
• Ability to work in a diverse interdisciplinary/multicultural environment and in a team.
• Excellent communication skills in English; able to travel for secondments/events.

Responsibilities

• Implement virtual chemistry framework/neural network solved chemistry for combustion modelling.
• Perform LES modelling of ignition configurations and hydrogen flame studies.
• Extend capabilities of in-house software; enhance tooling for simulations.
• Collaborate with international partners during secondments (CNRS, TU Berlin) and in network activities.

Skills

MSc degree

CFD knowledge

English proficiency

Linux/Fortran/Python

Teamwork

Travel willingness

Parallel computing

Education

Master degree in Mechanical Engineering

Master degree in Aerospace Engineering

Master degree in Physics

Tools

Linux

Fortran

Python

High-performance computing

Job description

Czestochowa University of Technology hosts a 36‑month MSCA Doctoral Network project (HyNOISE) focused on prediction and control of hydrogen flame noise. The PhD candidate will employ advanced LES methods, neural network modelling, and virtual chemistry frameworks to study ignition dynamics and flame stability within complex combustion configurations.

The position offers international secondments, collaboration with European gas turbine partners, and a structured training program, with a