Hybrid vibro-acoustics modelling for the auralization of EV components KU Leuven in Belgium

PhD position at KU Leuven in vibro-acoustics, signal processing, and machine learning for electric vehicle auralization.

The Mecha(tro)nic System Dynamics (LMSD) division and Campus De Nayer at KU Leuven are recruiting a doctoral researcher to work on hybrid vibro-acoustic modelling for electric vehicle components. The project combines physics-based modelling and data-driven correction to improve the reconstruction and auralization of sound and vibration fields in complex vehicle assemblies.

The research topics include developing a time-domain baseline model using FEM/BEM and reduced-order modelling, fusing sparse microphone or accelerometer data with model predictions, and using methods such as Kalman filtering, physics-informed neural operators/networks, and operator inference. The project also aims to build calibration models that preserve physical interpretability while adapting to measured data, and to extend these methods to parametric settings involving new materials, geometries, and sound sources.

The successful candidate will be supervised by Prof. Dionysios Panagiotopoulos and will join the large LMSD research group at KU Leuven, a team with a strong track record in noise and vibration research and industrially relevant applications. The work is hosted by the Mechanical Engineering Department and will mainly take place at Campus De Nayer, with access to vibration and acoustics laboratories and Automotive Test Center facilities.

Funding is already secured through the starting funds of the supervisor, ensuring a fully funded four-year PhD trajectory. The announcement also notes that exceptional candidates may be encouraged to pursue an FWO PhD fellowship during the initial phase of the project. The position includes a monthly salary associated with a Belgian PhD scholarship.

Applicants should hold a master’s degree in engineering, physics, or mathematics, have strong English skills, and ideally bring experience or a strong interest in acoustics, numerical modelling, machine learning, model order reduction, and vibro-acoustic measurement. KU Leuven also highlights opportunities for doctoral training through the Arenberg Doctoral School and a dynamic international environment with academic and industrial collaborations.

The application deadline is 2026-09-30. Applications must be submitted through the KU Leuven job portal and should include a CV, motivation letter, academic transcripts, and optional supporting documents such as English proficiency proof, reference letters, and a thesis/publication sample.