School of Engineering Sciences at KTH

Project description

Third-cycle subject: Vehicle and Maritime Engineering

This doctoral project is part of a larger, multidisciplinary and international project VAMOR: “Vibro-Acoustic Model Order Reduction” (no. 101119903) funded under the Marie-Sklodowska-Curie Actions Doctoral Networks within the Horizon Europe Programme of the European Commission. A joint PhD position between KTH and Cnam Paris is open to develop multi-fidelity reduced order models for the inverse identification of acoustic material properties.

Doctoral Candidate 10 (DC10) within VAMOR will develop novel inverse identification approaches for the characterisation of various acoustic materials by combining multi-fidelity approaches and reduced-order models. It will lead to the development of efficient machine learning models that will be used in a global optimization framework. The first step is to determine the most appropriate material models and reduced-order models for the low-fidelity and high-fidelity models with the aim of efficiently evaluating the vibro-acoustic response. The second step would be to test this approach on an established test case to estimate its robustness and the speed-up as compared to other inverse techniques. Experimental tests may be considered for the validation of the approaches and/or the enrichment of the surrogate models. Finally, the proposed methodology will be applied to more challenging inverse problem identification: stochastic inverse identification, simultaneous identification of acoustic and/or elastic and/or viscoelastic properties of foams/composites/multilayer structures, or the multilevel optimization of material parameters. Ultimately, the developed techniques will be deployed to identify the properties of degraded materials on existing structures, such as the acoustic treatment of operating vehicles.

Further details can be found at the following link from the recruiting university: https://www.lmssc.cnam.fr/fr/node/2049

Supervision:

Jean-François Deü, Lucie Rouleau and Luc Laurent from the Structural Mechanics and Coupled Systems Laboratory (LMSSC) of Cnam (https://www.lmssc.cnam.fr/en/equipe. Co-supervisors: Romain Rumpler KTH | Romain Rumpler and Huina Mao KTH | Huina Mao.

What we offer

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a second cycle degree (for example a master's degree in the fields of acoustics, physics, mechanical engineering or mathematics), or
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge

    Due to the EU mobility rules for Doctoral Network projects, the candidate should not have resided in Sweden 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 KTH, but also at the partner institution Le Mans University.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

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

  • have acquired some experience with at least one of the following: principles of acoustics, numerical modeling techniques, meta-modelling strategies,
  • independently pursue his or her work,
  • collaborate with others,
  • have a professional approach,
  • analyse and work with complex issues,
  • display sustained motivation for pursuing research,
  • possess a good level of cooperative and communicative abilities.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. 

Union representatives

Contact information for union representatives.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

Contact information for doctoral section.

To apply for the position

Applications must follow the instructions detailed at the following link on Cnam’s webpage: https://www.lmssc.cnam.fr/fr/node/2049

Other information

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

For information about processing of personal data in the recruitment process.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

 

 

Type of employment Temporary position
Contract type Full time
First day of employment According to agreement
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number S-2024-0956
Contact
  • Romain Rumpler, lektor, +46(0)734612497,rumpler@kth.se
  • Huina Mao, biträdande lektor, +46(0)722810219,huina@kth.se
  • Prof. Jean-François Deü, jean-francois.deu@cnam.fr
  • Assoc. Prof. Lucie Rouleau, lucie.rouleau@lecnam.net
Published 11.Jun.2024
Last application date 16.Jun.2024 11:59 PM CEST

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