Master Thesis - Evaluating Tonal Noise
Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 8, 2026.
Background
There are various tonal sounds perceived inside the cab of a truck at different operating conditions, originating from different vehicle components. Some tones are masked by background noise, while others stand out clearly. In some cases, the tones are caused by resonances, whereas in others they are related to orders generated by components such as the engine, tyres, turbochargers, or auxiliary systems.
Objective
The objective of this work is to evaluate different tonality metrics using vehicle recordings. Assess which metrics provide objective measures that best reflect subjective perception.
Scope
The work package includes:
- Literature review - Assessment of different tonality metrics
- You will be provided with recordings representing different types of tonal sounds perceived in ICE and BEV vehicles. Evaluating the collected sounds using selected tonality metrics.
- Planning and conducting listening tests (jury tests) to correlate subjective evaluations with objective metric results.
- Analyzing the results and identifying the most suitable tonality metrics for different applications.
- Writing a final report and presenting the results to TRATON.
Education
Masters student with focus on Psychoacoustics, Vehicle Acoustics or Technical acoustics.
Background in signal processing - MATLAB/ Python and interest in sound quality evaluation will be considered a plus.
Number of students: 1 or 2
Start date: Jan/Feb 2027
Estimated time needed: 20-25 weeks
Contact persons and supervisors
Aditya Thombare, +4670086577, [email protected]
Martin Jerling, +700812659, [email protected]
Application:
Your application must include a CV, personal letter and transcript of grades
A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.