PhD position at KU Leuven

Identification, localization and separation of noise sources of hybrid vehicle drivetrains.

The main objective of this PhD research is the development and application of advanced signal-processing techniques to provide a better understanding of the impact of the design and the control settings on the vibro-acoustic behaviour of modern hybrid-vehicle powertrains.

PhD position at KU Leuven

Time-domain-based model correlation and validation using state-parameter disturbance estimation techniques.

ESR2 focuses on the exploitation of multi-step estimation techniques to i) correlate the model and the measurement, while considering the imperfections associated with both, to ii) combine different measurement sets and instrumentation configurations to improve performance, to iii) find generic clear metrics for quantifying the degree of correlation and the validity of the model within a prescribed working range, and to iv) find a model-based pre-test procedure to aid in the correlation process.

PhD position at INSA

Advanced cyclo-stationary signal-processing methods for combustion/mechanical breakdown.

The objective of ESR3 is to introduce advanced signal-processing techniques that push beyond these limits.

PhD position at INSA

Advanced angular models and experimental tools for lightweight transmission line design

The ESR will develop a generalized model of a complete transmission line in this new framework, from the engine to the wheels. This model will be benchmarked against measurements on a transmission test rig or vehicle in order to calibrate the torsional and non-linear parameters, to define the best location for angular measurements and to investigate potential improvements by passive or active damping components.

PhD position at Fraunhofer IWU

The ESR PhD track at Fraunhofer IWU targets the simulation-based development of novel gearbox design concepts which are characterised by blending lightweight technologies and low noise emission levels. The ESR will evaluate the influence of lightweight construction approaches on gearbox acoustics by means of simulations.

PhD position at UNIVPM

Sound metrics for combustion and the mechanical noises of eco-powertrains.

ESR7 will explore advanced signal-processing techniques for feature identification and correlate the metrics to subjective perception. This will be performed on both downsized
IC engines and e-motors, since they are characterised by different acoustic signatures.

PhD position at UNIVPM

Investigation of component TPA approach for engine noise in vehicles.

ESR 8 will investigate component TPA approaches to predict full-vehicle noise and vibration performance from invariant load measurements on an engine test bench combined with vehicle-transfer functions.

PhD position at MDB

Join 3D and quantitative microphone array technique and sound source separation techniques for sound source contribution assessment of powertrain components.

The ESR will apply signal processing, microphone-array techniques, in-house expertise and good practices for the vibro-acoustic troubleshooting and analysis of IC powertrains. ESR9 will focus on 3D and quantitative microphone-array techniques and sound-source-separation techniques for a sound-source-contribution assessment of the powertrain components.

PhD position at SISW

ECU control strategies for optimized multi-attribute eco-powertrains performance.

The goal of ESR10 is to explore the best trade-off solutions with respect to ECU parameter settings for improved engine power, ecoefficiency, vibration and noise comfort. This trade-off analysis will be performed by means of multi-attribute 1D simulation models. The optimized control strategies will be implemented and tested on a HIL platform, in close comparison with baseline scenarios.

PhD position at SISW

Virtual sensing technique for contact forces and strains in transmission bearings and gears.

ESR11 will focus on the development and validation of a virtual sensing technique based on a stateestimation that will make it possible to extract the internal forces and strain fields (e.g., at the tooth root or the bearing raceways) thanks to a combination of a few well-positioned sensors (e.g., strain gauges and accelerometer) and
advanced gear-contact models. The ESR will contribute to the development of suitable simulation methodologies to be applied for virtual sensing and also to the sensor layout’s selection and final validation.

PhD position at BMW

Acoustic modelling and testing of electric vehicle drivetrains.

The project of ESR12 addresses the acoustic modelling and testing of electric vehicle drivetrains from noise sources such as the electromagnetics and the gear noise, and
how this all impinges on the driver’s ear.

PhD position at STELLANTIS

Meta-models for linking powertrain design and NVH performance.

ESR13 will develop advanced vibro-acoustic metamodels, typically using probabilistic, Bayesian inference and other IA-related modelling tools. The metamodel will be based on both experimental (accurate but expensive) and numerical (cheap but uncertain) results.

PhD position at INSA

Advanced angular models and experimental tools for lightweight transmission line design

The application context of this position is the global design process for the next generation of electrified powertrains (including hybridized engines, electric motors, gearboxes, drivelines, etc.). The ongoing massive electrification of powertrains brings quite a large number of challenges to the car industry, particularly in engineering and design concerning acoustic issues.