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Long Wu

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3 months ago

PhD Opportunities in Aeroacoustics, AI Modelling, and CFD-CAA Coupling for Noise Reduction University of Southampton in United Kingdom

Degree Level

PhD

Field of study

not provided

Funding

The Rolls-Royce project is fully funded for UK applicants, with an enhanced stipend and tuition fees covered. Horizon Europe fee waivers and competition-based bursaries may cover the difference between overseas and UK fees for qualifying students. The AI-based modelling project is competition funded, typically covering UK-level tuition fees and a stipend for top-ranked applicants. Funding is awarded on a rolling basis; early application is encouraged.

Deadline

Jul 31, 2026

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Country

United Kingdom

University

University of Southampton

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Where to contact

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About this position

The University of Southampton is offering two PhD projects in the field of aeroacoustics and noise control, led by Dr Long Wu and Professor Alec Wilson. The first project, 'Efficient CFD-CAA coupling for aeroengine noise simulation', is fully funded for UK applicants and sponsored by Rolls-Royce. It focuses on developing advanced computational methods to simulate and reduce aeroengine noise, integrating fluid dynamics, acoustics, and high-performance computing. Students will work closely with Rolls-Royce engineers and may have opportunities for placements within the company. The project is part of the Rolls-Royce University Technology Centre in Propulsion Systems Noise, providing access to state-of-the-art computational facilities and a collaborative research environment. The second project, 'AI-based modelling of perforated surfaces in complex flows for noise control', uses physics-informed machine learning to model the acoustic response of perforated surfaces, aiming to advance noise-control design for transport and HVAC systems. This project is competition funded and open to both UK and international applicants, with various funding opportunities available. Both projects require a high 2:1 or first class degree in engineering, mathematics, physics, or computer science, and value experience in CFD, CAA, coding, and scientific computing. The School of Engineering at Southampton is committed to equality, diversity, and inclusion, welcoming applicants from all backgrounds and offering flexible working patterns. The application deadline for both projects is 31 July 2026, but early applications are encouraged as funding is awarded on a rolling basis. Applicants should prepare a CV, two academic references, degree transcripts, and certificates, and apply online through the university portal, specifying the relevant supervisor. For informal inquiries, candidates can contact Dr Long Wu directly. These projects offer a unique opportunity to contribute to quieter, more sustainable aviation and advanced noise-control technologies, with strong industry links and access to leading research facilities.

Funding details

The Rolls-Royce project is fully funded for UK applicants, with an enhanced stipend and tuition fees covered. Horizon Europe fee waivers and competition-based bursaries may cover the difference between overseas and UK fees for qualifying students. The AI-based modelling project is competition funded, typically covering UK-level tuition fees and a stipend for top-ranked applicants. Funding is awarded on a rolling basis; early application is encouraged.

What's required

Applicants must hold a high 2:1 or first class degree (or international equivalent) in engineering, mathematics, physics, or computer science. Desirable skills include practical experience in computational fluid dynamics (CFD), computational aeroacoustics (CAA), coding/programming, and scientific computing. Applications should include a CV, two academic references, degree transcripts and certificates, and English language qualification if applicable. BPSS security checks and agreement to UTC IP control procedures are required for the Rolls-Royce project.

How to apply

Apply online via the University of Southampton portal. Select programme type 'Research', 2026/27, Faculty of Engineering and Physical Sciences, and search for 'PhD Engineering & the Environment (7175)'. Add the supervisor's name in section 2 of the application. Submit CV, academic references, transcripts, and certificates.

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