JOB DESCRIPTION

Aircraft noise is one of the main issues faced by the aerospace industry. Several near-future technologies are arising to enable a more sustainable form of air transportation. One of these near-future technologies is based on propeller-driven aircraft powered by electric propulsion. Since the noise footprints of these aircraft are expected to be substantially different from current commercial aircraft, a significant advancement in noise modelling capabilities is required to predict future noise exposure around airports and nearby-airport resident noise perception. This urgent need drives the development of noise prediction methods for near-future concepts, such as electric airliners and eVTOL vehicles, which rely on modelling distributed propulsion and rotor-airframe interaction effects. Within this context, the PhD position will focus on noise source modelling, utilizing existing propagation models.
To validate and steer the model developments, a significant portion of this position is dedicated to designing, executing, and processing acoustic experiments. The use of these experiments for model development will require innovative data analysis techniques, such as those from the field of Artificial Intelligence (AI). Additionally, several interesting applications of the modelling results are foreseen, including drafting recommendations for appropriate methods of noise quantification, and the implementation of the noise modelling for the purpose of auralization to be tested in a psychoacoustic laboratory experiment.

WANT TO KNOW MORE?

Call or mail Pien Moller (recruiter) via 0611443915 or pien.moller@nlr.nl

Please refer the Job description for details