Project outline Bees are essential pollinators supporting global food production and ecosystem health. While much is known about visual and chemical cues in bee behavior, the role of sound remains understudied. This project investigates how acoustic factors influence bee communication, foraging behavior, and pollination efficiency in natural and agricultural landscapes. The research will assess how […]
Project Outline Vibroacoustic modeling is crucial in engineering systems for accurately predicting, monitoring, and controlling noise and vibration, especially in aerospace and automotive applications. Virtual decoupling techniques have been successfully applied to isolate and analyze vibroacoustic systems in low-frequency domain. However, uncertainties often limit the model’s accuracy. Furthermore, vibroacoustic systems pose challenges due to the […]
Project outline This PhD project focuses on improving aircraft noise prediction for emerging technologies at early design stages. It involves developing whole-aircraft noise models, incorporating operational factors and fleet-level scenarios. The research will support Rolls-Royce’s noise prediction systems and inform certification standards and airport noise policies. Project Partners This PhD project will be hosted within the Rolls-Royce […]
Project outline This project addresses broadband interaction noise, one of the key contributors to community noise from modern propeller aircraft. By developing accurate predictive tools, the project will help Airbus design quieter and more environmentally friendly aircraft. The outcomes will promote sustainability by contributing to quieter communities around airports. Project Partners This PhD project will […]
Project outline This PhD project tackles one of the most pressing challenges in modern construction: how to optimize vibration isolation systems to minimize concrete usage, reduce environmental impact, and enhance urban living. By combining advanced Finite Element modelling, laboratory and field testing, and collaboration with industry leader, Farrat Isolevel, the research will deliver practical design recommendations and performance prediction tools. The […]
Project outline This project aims to create a new generation of personalised headphone audio technology that adapts intelligently to an individual’s unique hearing profile and listener preferences. All users, whether they have hearing loss or not, want an effortless, high-fidelity listening experience. Project Partners You will be working closely with Sonos and using the latest […]
Project outline Blind and partially sighted people are heavily reliant on gathering information via aural means. However, having reduced visual input increases listening effort. You will either investigate the cocktail party effect for people with sight loss or reducing listening effort for screen readers at high word rates. Project Partners This project is based at the University of Salford with funding from the Royal National Institute […]
Project outline Predicting the noise and vibration from complex structures like cars is a common challenge in engineering design. Transfer Path Analysis (TPA) can be used for this NVH work, speeding prototyping and reducing design costs. In TPA, you break down systems into key components, coupling together models of vibration sources, such as electric motors, to passive receiver structures, like a car body. This PhD is about improving measurements that feed into TPA, to increase the accuracy of the noise and vibration predictions. Improving prediction accuracy, […]
Project outline Option A – Advanced acoustic metamaterials for automotive application The sound a car makes is extremely important for customer satisfaction. Acoustic materials are one of the most common ways of treating unwanted sounds in the vehicle cabin. Metamaterials have become a hot topic in acoustics research and offer the possibility of creating more sustainable acoustic […]
Project outline Aircraft noise remains a major environmental challenge as the aviation industry moves toward quieter and more sustainable propulsion systems. Low-frequency noise, produced by jet engines and fans, is particularly difficult to suppress using conventional acoustic liners due to its long wavelengths and high energy content. This PhD project will explore the use of […]