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Full audio range noise prediction for naturalization of vehicle noise Leuven Belgium,  

KU Leuven (company)

Posted on : 01 May 2017

Project Description

  • The PhD candidate will work on the development of a methodology for the naturalization of the vehicle noise transfer path by the hybrid application of both deterministic low-frequency and averaged high-frequency numerical modelling approaches and time domain techniques. 
  • After the definition of a general modelling methodology, the approach will be validated with measurements on a vehicle application.

All candidates must be fluent in spoken and written English. The R&D is highly multidisciplinary.
 An ideal candidate has an M.Sc. in engineering (e.g. (vibro-)acoustics, solid-mechanics, physics).
  • Knowledge of numerical modelling, programming languages and signal processing is a strong advantage.
  • Candidates get the opportunity to perform this work as part of a PhD study.
  • All members of the network are equal opportunity employers, both female and male candidates are invited to apply.
  • The applicant may be of any nationality.
  • The applicant shall at the time of recruitment be in the first four years of his/her research career and have not been awarded a doctoral degree. 
  • This is measured from the date when the applicant obtained the degree, which would formally entitle him/her to register as PhD candidate.
  • The applicant must not have resided or carried out his/her main activity in the country of the host institute for more than 12 months in the 3 years immediately prior to the recruitment.

  • Our company  offers to the selected candidate a stimulating and ambitious research environment
    • which is embedded in the DNA,  a premier destination for Health, High-Tech and Creativity
    • considered an extremely nice place to live and work.


3000 Leuven Belgium

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