PhD scholarship in Efficient Numerical Modelling of Smart Hearables while Fitted to Users – DTU Electro

Are you interested in learning and extending on state-of-the-art numerical modelling techniques and, at the same time, contribute to improving the listening experience of smart hearable users and hearing impaired?

As a PhD candidate with us you will create models of audio devices that are worn in or over the ear and including the wearer’s acoustical and mechanical influence. You will deal with a large modelling task with uncertain input data, and to do this you will acquire knowledge on fields like advanced numerical modelling techniques, improvement of model efficiency and numerical optimization, among others.

PhD scholarship in Broadband Vibroacoustic Shape Optimization using Model Order Reduction Methods – DTU Electro

This project aims at the application of MOR to the optimization of electroacoustic devices that involve the interaction of mechanical and acoustical domains, i.e. vibroacoustics. At DTU and KUL, you will have access to state-of-the-art knowledge on numerical methods, MOR and numerical optimization.

You will collaborate with the company PURIFI, a research-based producer of high-end loudspeaker units with wide practical experience on transducer non-linearities, measurement methods, and optimization techniques. You will be expected to extend and streamline models, opening up new possibilities for vibroacoustic design.

PhD scholarship in Measurement Methods, Reliability, and Uncertainty in Acoustic-Mechanical Microsystems – DTU Electro

Are you interested in developing and advancing state-of-the-art measurement methods for sound and vibration in miniature audio systems?

The small scale of smart hearables such as ear pods, headsets, and hearing aids present unique challenges to accurately and reliably measure the acoustic and vibroacoustic behaviour of their components. But modelling, simulation, and optimization of such devices relies on accurate measurement data.

As a PhD candidate with us you will investigate and develop measurement methods suitable for small parts and evaluate reliability and uncertainty of these methods.