Doctoral student in acoustic source characterisation Full-time NEW

Doctoral Student In Acoustic Source Characterisation

Third-cycle subject: Vehicle, Maritime and Aerospace Engineering

The position is part of a project within the FFI Zero Emissions programme on acoustic source characterisation of electric vehicle components, carried out in close collaboration between KTH and Volvo Technology AB.

As vehicles are electrified, combustion noise disappears and sources such as electric motors, cooling fans and power electronics become dominant. The project develops robust methods to identify and characterise these acoustic sources. The work includes equivalent source modelling and inverse acoustics for partially coherent source fields, optimal microphone-array placement, and physics-informed and data-driven machine learning. The methods are linked to virtual pass-by simulation for more cost- and energy-efficient vehicle development.

The doctoral student will join the Sound and Vibration research environment at the Marcus Wallenberg Laboratory for Sound and Vibration Research, Department of Engineering Mechanics, KTH, and be associated with the Centre for ECO2 Vehicle Design. The work is carried out in close collaboration with Volvo Technology AB.

Supervision: Romain Rumpler, Elias Zea och Susann Boij are proposed to supervise the doctoral student. Decisions are made on admission

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), 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.
• The applicant has knowledge corresponding to at least 60 higher education credits at second-cycle level in Engineering Mechanics, Applied Physics, Electrical Engineering, Vehicle Engineering, or another subject relevant to acoustics, sound and vibration, or signal processing.

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

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:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues.

It is meritorious if the applicant has knowledge or experience in one or more of the following areas: acoustics, vibrations, structural dynamics, signal processing, inverse methods or microphone arrays, and machine learning or physics-informed machine learning. Experience with scientific programming and tools such as Python, MATLAB, TensorFlow/PyTorch, COMSOL or Actran is also meritorious, as is an interest in academia–industry collaboration.

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