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Vehicle, Maritime and Aerospace Engineering● OpenPreview

Doctoral student in acoustic source characterisation

Join KTH to research advanced acoustic source characterisation and machine learning for electrified vehicles.

Best for:Best for master's graduates in engineering mechanics or applied physics with a strong background in acoustics, signal processing, and machine learning.

KTH Royal Institute of Technology · Stockholm, Sweden · R1 · First-stage researcher
More professors at KTH Royal Institute of Technology
AcousticsInverse MethodsMachine LearningSignal ProcessingVibrations
Deadline
—
Funding
—
Start date
flexible
Fixed-term
Location
Stockholm
Sweden

Overview

KTH Royal Institute of Technology invites applications for a doctoral student position focusing on acoustic source characterisation of electric vehicle components. Part of the FFI Zero Emissions programme, the research is conducted in close partnership with Volvo Technology AB within the Marcus Wallenberg Laboratory for Sound and Vibration Research. The project involves developing equivalent source modelling, inverse acoustics, microphone-array optimisation, and physics-informed machine learning to address dominant noise sources in electrified transport. The successful candidate will pursue a third-cycle degree in Vehicle, Maritime and Aerospace Engineering while contributing to energy-efficient vehicle simulation methods.

Acoustic source characterisationElectric vehiclesPhysics-informed machine learningInverse acousticsMicrophone arraysVehicle engineering

What you'll do

  • Develop robust methods for identifying and characterising acoustic sources in electric vehicle components
  • Perform equivalent source modelling and inverse acoustics for partially coherent source fields
  • Design optimal microphone-array placements for noise source identification
  • Implement physics-informed and data-driven machine learning algorithms for acoustic analysis
  • Integrate developed methods with virtual pass-by simulation tools for efficient vehicle development
  • Collaborate closely with industrial partners at Volvo Technology AB

Requirements

Degree required: Master's degree or equivalent second-cycle degree of at least 240 higher education credits with 60 second-cycle credits

Degree offered: PhD

Language: English equivalent to English B/6

Instruction: English

Required skills
  • Background in Engineering Mechanics, Applied Physics, Electrical Engineering, Vehicle Engineering, or a related discipline
  • Knowledge corresponding to at least 60 higher education credits at the second-cycle level in relevant subjects
  • Ability to independently pursue research work and analyze complex issues
  • Strong collaborative and professional communication skills
  • Goal-oriented and persevering approach to academic research
Nice to have
Knowledge or experience in acoustics, vibrations, structural dynamics, or signal processingExperience with inverse methods or microphone arraysFamiliarity with machine learning or physics-informed machine learningProficiency in scientific programming and tools such as Python, MATLAB, TensorFlow, or PyTorchExperience with simulation software such as COMSOL or Actran
Eligibility
  • Meet general entry requirements for postgraduate education under the Swedish Higher Education Ordinance
  • Hold a second-cycle degree or equivalent qualifications

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
FFI Zero Emissions programme
Volvo Technology AB

How to apply

Interested applicants should submit their application through the official KTH recruitment portal by following the provided link. Ensure all required academic transcripts and supporting documentation are attached before the specified closing date.

Documents required
  • CV
  • Cover letter
  • BSc + MSc transcripts
↗Apply on site
RR
Prof.
Romain Rumpler
Department of Engineering Mechanics
Lab
Marcus Wallenberg Laboratory for Sound and Vibration Research
KTH Royal Institute of Technology
FFI Zero Emissions programmeSweden
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