PhD Candidate: Hydrogen-Air Combustion & Aeroacoustics LES

Polytechnic University of Bari

Italia

On-site

EUR 42,000 - 64,000

Full time

4 days ago
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Job summary

Polytechnic University of Bari seeks PhD candidates for the HyNOISE Doctoral Network. The project trains candidates to predict and control noise from hydrogen flames using high-fidelity modelling and experiments, with secondments to partner labs and a competitive MSCA salary.

Affiliations include CERFACS and industrial partners; the start is planned for 2027. The network emphasizes advanced numerical methods, experimental validation, and international collaboration across aerospace propulsion

Qualifications

  • MSc or equivalent in aerospace engineering, physics or similar.
  • Solid knowledge in Combustion, Fluid Mechanics, Compressible Turbulence and Computational Fluid Dynamics.
  • Ability to work in a team as well as independently.
  • Excellent communication skills (English).
  • Willing to travel for secondments.
  • Knowledge of Fortran, C++, Python.

Responsibilities

  • Develop modelling in AVBP for hydrogen flames in collaboration with DC9.
  • Perform CH-LES simulations coupling AVBP with AVTP for MICCA/HYLON chambers.
  • Assess thermoacoustic instabilities and high-frequency modes in MICCA and IMFT.
  • Study tonal and broadband noise from industrial engines.
  • Coordinate secondments and collaboration with partner labs.

Skills

Solid knowledge of combustion
Fluid mechanics
Compressible turbulence
Computational fluid dynamics
English communication

Education

Master degree or equivalent
MSc or equivalent in aerospace engineering, physics or similar

Tools

Fortran
C++
Python

Job description

Polytechnic University of Bari seeks PhD candidates for the HyNOISE Doctoral Network. The project trains candidates to predict and control noise from hydrogen flames using high-fidelity modelling and experiments, with secondments to partner labs and a competitive MSCA salary.

Affiliations include CERFACS and industrial partners; the start is planned for 2027. The network emphasizes advanced numerical methods, experimental validation, and international collaboration across aerospace propulsion

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