Doctoral student in parametric model order reduction of vibro-acoustic systems with large parameter spaces

13 Mar 2024
Job Information

Organisation/Company

Technical University of Munich

Department

Chair of Structural Mechanics

Research Field

Engineering » Simulation engineering
Engineering » Civil engineering
Engineering » Mechanical engineering

Researcher Profile

First Stage Researcher (R1)

Country

Germany

Application Deadline

30 Apr 2024 - 23:59 (Europe/Berlin)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

1 Oct 2024

Is the job funded through the EU Research Framework Programme?

H2020 / Marie Skłodowska-Curie Actions

Marie Curie Grant Agreement Number

101119903

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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 Program 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).

As part of VAMOR, a joint Ph.D. position between TUM and KUL is open to investigate the parametric model order reduction of vibro-acoustic systems with large parameter spaces. Within this research track, robust and efficient workflows for computing parametric reduced-order models of vibro-acoustics are to be established. The dimension reduction of the numerical models is to be achieved by projection. A special focus is put on methods enabling the reduction of models with a large number of parameters. Since, in such cases, traditional parametric model order reduction methods suffer from the curse of dimensionality, techniques involving efficient parameter sampling techniques, as well as sampling-free approaches and data-driven methods to obtain parametric reduced models, will be exploited. All methods will be compared and assessed in terms of applicability and effectivity regarding vibroacoustic systems. The most promising and robust approaches are to be tested on benchmark cases arising from a double-layer floor construction of a railway-wagon and the fuselage sidewall of an aircraft.

What we offer

• 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 Germany (0.983). 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€.
• A postgraduate education at an institution that is active and supportive in matters pertaining to working condi-tions, gender equality and diversity, and study environment.
• Joint PhD with the KU Leuven.
• Project part of the EU project VAMOR, and in close collaboration with the industry, with the company MUELLER-BBM Industry Solutions GMBH.
• 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 Leu-ven Arenberg Doctoral School (https://set.kuleuven.be/phd ), known for its strong focus on both future scientists and scientifically trained professionals who will valorize their doctoral expertise and competences in a non-aca-demic context. More information on the training opportunities can be found on the following link: https://set.ku-leuven.be/phd/dopl/whytraining .
• Doctoral candidates at TUM work on challenging academic questions and are supported by prominent re-searchers. TUM Graduate School encourages an environment in which academic knowledge and professional qualification are perfectly interwoven. On the following pages, you will find all the information you need about doing a doctorate at TUM: https://www.gs.tum.de/en/gs/doctorate-at-tum/

Main Supervision at TUM: Prof. Gerhard Müller is proposed to supervise the doctoral student.
Co-Supervision at KUL: Prof. Elke Deckers will co-supervise the doctoral student.

Requirements

Research Field

Engineering

Education Level

Master Degree or equivalent

Skills/Qualifications

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

• During my courses or prior professional activities, I have gathered some basic experience with the physical principles of acoustics and numerical modelling techniques for structural dynamics, such as analytical methods, the Finite Element Method (FEM), Boundary Element Method (BEM) , and/or I have a profound interest in these topics. Additional knowledge on Model Order Reduction techniques will be considered ad-vantageous for this position.
• As a PhD researcher 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 devia-tions 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 in-dustry 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.

Languages

ENGLISH

Level

Excellent

Research Field

Engineering » Simulation engineering

Years of Research Experience

None

Additional Information
Eligibility criteria

Admission requirements

• Admission to a doctorate at TUM requires:
  • A university degree completed with above-average results (Diploma, Magister or Master's), an equiva-lent state examination, or a Master's examination at a university of applied science.
  • Results are considered to be above average if studies were completed with an average grade of at least 2.5, or at a minimum passed with a grade of "good." In exceptional cases, your above-average qualifica-tions can also be proven through academic work (e.g. publications) completed after your course of study.
  • Decisions about your qualifications are always made by the degree-awarding institution/department.
  • A doctorate from TUM requires very good written and spoken English skills. There are no required mini-mum scores for the relevant tests (IELTS, TOEFL, etc.), but applicants should be able to speak fluently with the supervisor about their research area during the application interview.
  • German skills are highly beneficial, especially for finding your way around Munich and the surrounding area.
  • More information about admission requirements can be found in the TUM doctoral regulations.
• Due to the EU mobility rules for Doctoral Network projects, the candidate should not have resided in Ger-many for more than 12 months in the 3 years immediately before the recruitment date on the project. The candidate is expected to spend a shared amount of his time in the project at TUM, but also at the partner institution KUL.

Selection process

Selection
To succeed as a doctoral student at TUM, you need to be goal-oriented and persevering in your
work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work,
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues;
• display sustained motivation for pursuing research,
• possess a good level of communicative ability.

After the qualification requirements, great emphasis will be placed on personal competency.
Target degree: Doctoral degree

Additional comments

Information regarding admission and employment
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment as full-time doctoral student is three years (36 months). To a limited extent (maximum 20%), an em-ployed doctoral student can perform certain tasks within their role, e.g., training and administration.
The recruited researcher will be compensated according to the compensation for recruited researchers within MSCA projects, as stated in the grant agreement including eligibility to Living, Mobility and Family allowances.

Striving towards gender equality, diversity and equal conditions is both a question of quality for TUM
and a given part of our values.

Website for additional job details

https://www.cee.ed.tum.de/en/bm/research/job-announcement/

Work Location(s)

Number of offers available

1

Company/Institute

Technical University of Munich

Country

Germany

State/Province

Bavaria

City

Munich

Postal Code

80333

Street

Arcisstraße 21

Geofield

Number of offers available

1

Company/Institute

KU Leuven, Mecha(tro)nic System Dynamics division (LMSD)

Country

Belgium

City

Leuven

Geofield

Where to apply

E-mail

[email protected]

Contact

City

Munich

Website

https://www.cee.ed.tum.de/en/bm/research/
https://cordis.europa.eu/project/id/101119903

Street

Arcisstr. 21

Postal Code

80333

E-Mail

[email protected]
[email protected]

STATUS: EXPIRED