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Perceptual evaluation of industrial noise with multiple sound characteristics

   School of Science, Engineering and Environment

About the Project

The aim of this research is to provide a strong perceptual foundation for the assessment of industrial noise annoyance in homes and residential green spaces. The research will design and test innovative experimental techniques to measure, quantify and communicate environmental and social change, applying cutting-edge technologies such as drones, artificial intelligence (AI), virtual reality and immersive sound demonstrations.

The objectives of the study are to:

  1. Advance auralisation techniques to provide an ecologically valid experience for virtual listening tests
  2. Develop virtual soundwalk questionnaires and ratings, to communicate with the public and future policy-makers the impact of actions in an easily accessible way.
  3. Develop a consistent method for industrial noise character assessment

The key deliverable is a robust method for the subjective assessment of the impact of industrial sounds.

Candidates will need a 1st class or high 2:1 honours degree in a relevant subject such computing, mathematics, engineering or a physical science. As most of the project will require application of environmental acoustics and subjective response, a willingness to develop a good understanding of these methods is essential. Additionally, a good understanding of engineering mathematics, digital signal processing and statistics is desirable.

For informal inquiries contact Professor David Waddington via

How to apply:

Submit a formal application at this link: 

 You will need to have the following documents ready to upload to the application site:

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