The project aims to develop computationally efficient models that describe acoustic wave propagation and backscattering in atmospheric environments, with a primary focus on signal processing. You'll join an international research programme involving leading academic and industrial partners from the UK, Australia, and the USA.
Classical acoustic propagation models often rely on high-fidelity numerical solvers that are computationally expensive and unsuitable for real-time or embedded signal analysis. In general simplified analytical models frequently neglect the influence of humidity gradients, temperature changes, and stochastic airflow changes on phase stability and spectral content.
This project will explore the possibility of creating reduced-order and physics-informed computational models that capture the essential mechanisms governing atmospheric acoustic scattering while remaining compatible with real-time signal processing architectures. Particular emphasis will be placed on:
- frequency-dependent attenuation and dispersion modelling
- efficient representation of incoherent backscattering
- algorithmic stability under rapidly varying atmospheric parameters
Validation will be performed using controlled experimental measurements in the laboratory under variable temperature and humidity conditions to quantify computational efficiency, model accuracy, and robustness.
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent.
Fees and funding
We offer a range of funding opportunities for both UK and international students.
How to apply
Apply now. You need to: choose programme type (Research), 2026/27, Faculty of Engineering and Physical Sciences; select Full time or Part time; search for programme PhD Electronic & Electrical Engineering (7092); add name of the supervisor in section 2 of the application. Applications should include: research proposal, your CV (resumé), 2 academic references, degree transcripts and certificates to date, English language qualification, IELTS 6.5 (or equivalent), if applicable.
