Acoustics
Loughborough University
About the Project This research project focuses on the development of an advanced AI-driven system specialised in interpreting Acoustic Emission (AE) data, which aims to facilitate real-time monitoring of critical industrial components, such as electric vehicle batteries and hydrogen fuel cells. AE sensors, operational within a frequency range of several MHz, have the capacity to capture stress waves emanating from materials undergoing deformation.
- Location
- Loughborough, United Kingdom, United Kingdom
- Deadline
- 30 September 2026
- Funding
- Self-Funded PhD Students Only
Acoustics
University of Salford
About the Project UNIVERSITY OF SALFORD PhD Title: Modelling Dialogue Understandability in Media Using Listener Types and AI The studentship is with University of Salford and DTS (Xperi) Academic Supervisor: Dr Ben Shirley, b.g.shirley@salford.ac.uk Academic Co-Supervisor: Dr Rebecca Vos Industrial Supervisors: Dr Martin Walsh and Ted Laverty (Xperi) The studentship is fully funded and includes: • A fee waiver • A stipend of £22,852 PA for three and a half years • All bench…
- Location
- Salford, United Kingdom
- Deadline
- 16 November 2026
- Funding
- UK Students; £22,852 per annum for three and a half years
Acoustics
University of Southampton
About the Project Supervisory Team: Dr. Giacomo Squicciarini, prof. Tim Waters and Dr. Michal Kalkowski This project examines how impact sounds in cricket, golf, and tennis reveal the physics and performance quality of each strike. Through acoustic analysis, physics based models, and machine learning, it aims to reveal the information hidden in these acoustic signals.
- Location
- Southampton, United Kingdom, United Kingdom
- Deadline
- 31 December 2026
- Funding
- Competition Funded PhD Project (Students Worldwide)
Acoustics
University of York
About the Project The future of Augmented Reality (AR) will be shaped as much by sound as by visuals. For AR to feel truly immersive, virtual sound sources must blend seamlessly with the listener’s real acoustic environment, preserving naturalness, depth, and spatial coherence. Yet this remains a major challenge in immersive media research.
- Location
- York, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- Self-Funded PhD Students Only
Acoustics
King’s College London
About the Project Two fully funded, 3.5 year PhD studentships will explore what happens when textbook assumptions about near-field waves are removed. The scientific challenge Near-fields --confined close to sources, interfaces and nanostructures-- can display three-dimensional polarisation, unexpected energy and momentum flows, topological textures, exact zeros, and unusual forces and torques.
- Location
- London, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- Funded PhD Project (Students Worldwide)
Acoustics
University of York
About the Project Acoustic signal transmission is the only feasible technology for long-range (>10-100m) underwater communication, navigation and sonar systems. The performance of such systems could be significantly improved if it was possible simultaneously transmit and receive signals in the same frequency band, which is called full-duplex (FD) operation. If implemented, the FD could directly double the capacity of communication systems.
- Location
- York, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- Self-Funded PhD Students Only
Acoustics
University of York
About the Project The ocean plays a key role in supporting all living organisms on our planet, yet the vast majority of the ocean remains unmapped and unobserved. Any activity underwater requires reliable communications, and the most feasible is the underwater communication exploiting acoustic waves. Unfortunately, modern underwater acoustic communication networks have relatively low throughput, while many practical applications require high data rates.
- Location
- York, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- Self-Funded PhD Students Only
Acoustics
University of York
About the Project Communication using acoustic waves is the main underwater communication technology, since electro-magnetic waves quickly attenuate underwater. Most of existing underwater acoustic communication systems operate at frequencies 5 – 50 KHz propagating up to several kilometres in distance, albeit at low data rates, so the video transmission is not possible. The aim of this project is to use higher acoustic frequencies (e.g.
- Location
- York, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- Self-Funded PhD Students Only
Acoustics
Kingston University
About the Project Insects are vital members of the ecosystem, acting as vital pollinators for flowering plants, consumers of detritis, and in many cases keeping pests under control. However, some species – particularly ones non-native to a particular region – may have series detrimental effects by predating on native species or seriously damaging or destroying local plant life.
- Location
- London, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- Self-Funded PhD Students Only
Acoustics
University of Strathclyde
About the Project About the Project Phased Array Ultrasonic Testing (PAUT) is a cornerstone of modern Non-Destructive Evaluation (NDE) across industries such as aerospace, energy, and automotive. By enabling electronic beam steering and focusing, PAUT brought improved inspection capability for complex geometries and is widely used for safety-critical components due to its flexibility, safety, and compatibility with automation.
- Location
- Glasgow, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- See advert
Acoustics
University of York
About the Project Machine learning is an approach that is useful when a practical optimisation problem is difficult to describe precisely. This approach has found multiple applications. Recently, the machine learning has been used in communication systems at the physical layer for designing the communication modems. The machine learning can improve the detection performance and, at the same time, reduce the modem complexity.
- Location
- York, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- Self-Funded PhD Students Only
Acoustics
University of York
About the Project There is a great interest in underwater autonomous vehicles (AUVs) and currently many companies develop AUVs for multiple applications. Obviously, AUVs require accurate navigation. Underwater, radio waves cannot propagate, and therefore such navigation systems as GPS, widely available on the ground, cannot operate underwater. New navigation principles and new navigation systems are required to make AUVs useful in practice.
- Location
- York, United Kingdom, United Kingdom
- Deadline
- Year-round applications
- Funding
- Self-Funded PhD Students Only