KU Leuven

Development of model reduction framework of multi-physical acoustics VAMOR DC1

2024-06-07 (Europe/Brussels)
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KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.

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The research is hosted by the Mecha(tro)nic System Dynamics division (LMSD), which currently counts >100 researchers and is part of the department of mechanical engineering of KU Leuven. The research group has a long track record of combining excellent fundamental academic research with industrially relevant applications, leading to dissemination in both highly ranked academic journals as well as on industrial fora. More information on the research group can be found on the website: https://www.mech.kuleuven.be/en/research/mod/about and our linkedIn page: https://www.linkedin.com/showcase/lmsd-kuleuven/.

The PhD will be co-supervised by the chair of vibroacoustics for vehicles and machines of TUM. The group of the Chair of Vibroacoustics of Vehices and Machines conducts widespread research on Technical Acoustics and on Vibroacoustics. The aim in this is to enhance the physical understanding of the emergence and distribution of airborne and structure-borne sound in order to deduce methods of manipulation and reduction. Ever since its establishment in 2015 under the direction of Prof. Dr.-Ing. Steffen Marburg teaching and research involve physical principles of Vibroacoustics, numerical simulations and experimental investigations. More information can be found on the website https://www.epc.ed.tum.de/en/vib/home/.
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This doctoral project is part of a larger, multidisciplinary and international project VAMOR: “Vibro-Acoustic Model Order Reduction” (GA 101119903) funded under the Marie-Sklodowska-Curie Actions Doctoral Networks within the Horizon Europe Programme of the European Commission.

VAMOR contributes to a more sustainable and quieter future for Europe. Noise pollution has arisen as one of the key factors towards the degradation of the quality of life in European societies. In that context, efficient physics-based sound modelling is a key enabler towards not only optimized and sustainable acoustic profiles through efficient design procedures, but also affordable so-called digital twins that monitor product performance in real time. To this end, the overarching goal of VAMOR is to provide high level scientific and transferable skills training on a new generation of efficient vibro-acoustic modelling techniques, so-called model order reduction (MOR) strategies, to a group of high achieving, competent doctoral candidates to promote a quieter and more sustainable environment. VAMOR brings together a remarkable consortium, which combines research leading academic institutions - KU Leuven, Technische Universitaet Munchen (TUM), Technical University of Denmark (DTU), Kungliga Tekniska Hoegskolan (KTH), Universite du Mans, Conservatoire National des Arts et Metiers (CNAM) - with a constantly innovating, wide variety of industrial partners working on software, material, testing, design and sound enhancement (Siemens Industry Software NV, Müller BBM, Trèves, Phononic Vibes, Saint-Gobain Ecophon, Tyréns, Purifi ApS).

Doctoral Candidate 1 (DC1) within VAMOR will develop a scalable and generic framework for the deployment of MOR within vibro-acoustic problems. Specifically, the recruited DC will start by evaluating and enhancing the scalability of existing vibro-acoustic physics-based MOR techniques (within e.g. FEM, BEM) and data-based MOR techniques. Then, the DC will define a framework for the flexible interchange of those and will exploit the best performing techniques with respect to efficiency, memory usage, code intrusiveness, heuristically defined parameters, number of inputs and outputs to develop a technique for the efficient solution of strongly coupled vibro-acoustic problems. Further, enhancing modelling possibilities the DC will develop techniques that enable the reduction of additional multi-physical models, such as lumped parameter modelling and flexible multibody systems, aiming the efficient modelling of e.g. the acoustic emission of moving parts of a wind turbine model. The DC will explore MOR strategies involving Krylov subspaces, POD and reduced basis method, Gaussian Processes, autoencoders. 

Main Supervision at KUL: Prof. Elke Deckers.

Co-Supervision at TUM: Prof. Steffen Marburg


If you recognize yourself in the story below, then you have the profile that fits the project and the research group:

·         I have a master degree in engineering, physics or mathematics and performed above average in comparison to my peers. I am not in possession of a doctoral degree at the date of recruitment.

·         I am proficient in written and spoken English.

·         I haven’t had residence or main activities in Belgium for more than 12 months in the last 3 years.

·         During my courses or prior professional activities, I have gathered some basic experience with the basic physical principles of acoustics and the related numerical modelling techniques, such as the Finite Element Method (FEM), Boundary Element Method (BEM). I have a good knowledge of deep learning approaches  and/or with the basic principles of Model Order Reduction or I have a profound interest in these topics.

·         As a PhD researcher of the KU Leuven LMSD division I perform research in a structured and scientifically sound manner. I read technical papers, understand the nuances between different theories and implement and improve methodologies myself. 

·         Based on interactions and discussions with my supervisors and the colleagues in my team, I set up and update a plan of approach for the upcoming 1 to 3 months to work towards my research goals. I work with a sufficient degree of independence to follow my plan and achieve the goals. I indicate timely when deviations of the plan are required, if goals cannot be met or if I want to discuss intermediate results or issues.

·         In frequent reporting, varying between weekly to monthly, I show the results that I have obtained and I give a well-founded interpretation of those results. I iterate on my work and my approach based on the feedback of my supervisors which steer the direction of my research.

·         I feel comfortable to work as a team member and I am eager to share my results to inspire and be inspired by my colleagues.

·         I value being part of a large research group which is well connected to the machine and transportation industry and I am eager to learn how academic research can be linked to industrial innovation roadmaps.

·         During my PhD I want to grow towards following up the project that I am involved in and representing the research group on project meetings or conferences. I see these events as an occasion to disseminate my work to an audience of international experts and research colleagues, and to learn about the larger context of my research and the research project.


·         The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities worldwide.

·         You will receive a monthly gross salary of 3400€ multiplied with the country specific coefficient of Belgium (1.0). The net income will result after the deduction of income tax, social contributions, and other permitted deductions that need to be considered. In addition to the net salary you will receive a mobility allowance of 600€.

·         An opportunity to pursue a joint PhD in Mechanical Engineering both from KU Leuven and the Technical University of Munich (TUM), typically a 4 year trajectory, in a stimulating and ambitious research environment. 

·         The place of employment is Leuven, Belgium. In the context of the joint degree, you will spend in total 12 months in TUM. An additional 2 month secondment is included in Siemens Industry Software (SISW) which is located in Leuven.

·         Ample occasions to develop yourself in a scientific and/or an industrial direction. Besides opportunities offered by the research group, further doctoral training for PhD candidates is provided in the framework of the KU Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd), known for its strong focus on both future scientists and scientifically trained professionals who will valorise their doctoral expertise and competences in a non-academic context. More information on the training opportunities can be found on the following link: https://set.kuleuven.be/phd/dopl/whytraining. 

·         EU Researcher allowances will be used to cover both the employee's as the employer's mandatory charges.

VAMOR on EU website 
VAMOR website


Follow the KU Leuven job application tool and enclose:

1.       full CV – mandatory

2.       motivation letter – mandatory

3.       full list of credits and grades of both BSc and MSc degrees (as well as their transcription to English if possible) – mandatory(when you haven’t finished your degree yet, just provide us with the partial list of already available credits and grades)

4.       proof of English proficiency (TOEFL, IELTS, …) -if available

5.       two reference letters - if available

6.       an English version of your MSc or of a recent publication or assignment - if available

For more information please contact Mr. Dionysios Panagiotopoulos, tel.: +32 16 32 86 93, mail: dionysios.panagiotopoulos@kuleuven.be or Prof. dr. Elke Deckers, tel.: +32 16 37 26 79, mail: elke.deckers@kuleuven.be.

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.

Job details

Development of model reduction framework of multi-physical acoustics VAMOR DC1
Oude Markt 13 Leuven, Belgium
Application deadline
2024-06-07 23:59 (Europe/Brussels)
2024-06-07 23:59 (CET)
Job type
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