A Funded Master by Research project on Design and Implementation of a Multichannel Active Noise Control System in Subband – Lancaster University
Posted on May 3, 2020 in Job Opportunities in Acoustics
Closing date for applications: 31 July 2020
A funded MSc by Research project is available for an outstanding graduate with specific interest in signal processing, control and mechatronics system design. The project is in close collaboration with the industry partner in Germany to develop an active noise control system that addresses the immediate need in the automotive industry to mitigate the broadband and non‐stationary noises.
The results will be used to mitigate the effect of undesired sound inside the cabin of automobile. Engineering research at Lancaster University has been rated as world leading in the 2014 Research Excellence Framework (REF) and you will join a dedicated team of engineers working on audio signal processing problems.Project Description
One important trend in automotive industry is the design of more fuel efficient vehicles by reducing their weight. Reducing the weight of the body of vehicle will inevitably increase the level of noise and vibration inside the cars. It is proved that active control systems will be an attractive potential solution to reduce the level of interior noise and vibration at low frequencies without putting additional weight. To go beyond the conventional methods using passive techniques research and development on active methods proved to be promising during the last decades to achieve an acceptable level of comfort inside the drivers cabin. Since low‐frequency noise is difficult to attenuate by
means of passive methods, there is a need to actively control low‐frequency noise in confined spaces.Achieving this aim, necessitates implementation of a feedforward multichannel active noise control system with several references microphones, secondary sources, and error sensors in a multi‐dimensional noise field. The most commonly used algorithm for this purpose is the so called Filtered‐x LMS algorithm and its variants. Specifically, adaptation of ANC algorithms in nonstationary
environments and their stability in front of uncertainties in the secondary path is a subject that is less studied and requires more investigation.
Potential candidate for this position are expected to have the following qualifications
‐ Should have or expect to achieve a first‐class or upper second‐class degree in Engineering at the level of MSc, MEng, BEng or a lower second with a good master thesis (or overseas equivalents) in a relevant subject.
‐ The fund is available for UK/EU students; however, international students could also apply under circumstances.
‐ Sufficient background on signal processing, control or closely related discipline.
‐ Practical experiences on implementation of the single processing and control algorithms on DSP boards or embedded systems.
‐ Computer programming skills such as MATLAB are essential for the position.
‐ You should have excellent interpersonal skills, work effectively in a team and have experience of the preparation of presentations, reports or scientific papers to the highest levels of quality.
The fund covers Home/EU tuition fees and a stipend (approx. 900 euros per month) which is available for one year study and the student will be based in the company in Munich, Germany for the whole period of the project. International students may apply if they can cover the difference in tuition fees.
To declare your interest and request further information about the application procedure, please send a copy of your CV along with the cover letter to Dr Allahyar Montazeri (email@example.com).
More information is here.