University of Sussex
PhD Position

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PhD Studentship: AI-Driven Ultrasound for Materials Evaluation
University of Sussex | School of Engineering and Informatics | Fully Funded
The University of Sussex invites applications for a fully funded PhD studentship at the interface of ultrasonics, physics-based modelling, and artificial intelligence.
About the project
Ultrasound underpins safety-critical inspections in energy, transport, and advanced manufacturing, yet extracting quantitative information from ultrasonic measurements remains a long-standing challenge. This project will develop AI-driven ultrasonic methods for quantitative materials evaluation. The student will work across the full research pipeline: building high-fidelity ultrasound simulations, designing and benchmarking machine learning architectures, quantifying prediction uncertainty, and validating models against experiments. The project involves collaboration with a leading industry partner.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Supervision and environment
The student will be supervised by Dr Ming Huang and Dr Ivor Simpson, affiliated with Sussex AI and the Energy and Materials Engineering Research Centre, with access to state-of-the-art ultrasonic instrumentation and high-performance computing.
Funding
The studentship is open to UK and international candidates. It covers a tax-free stipend of £21,805 per year for 3.5 years, a full fee waiver (UK or international rate), and a one-off Research and Training Support Grant of £2,000.
Eligibility
Candidates will normally hold at least an upper second-class (2:1) undergraduate degree, or equivalent, in physics, engineering, applied mathematics, materials science, computer science, or a related field. Experience with ultrasound, numerical simulation, Python programming, or AI models is desirable but not essential.


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Key dates
- Application deadline: 11 September 2026
- Interview date: 24 September 2026
- Start date: January 2027
Full project description and application details
For informal enquiries, please contact Dr Ming Huang (ming.huang@sussex.ac.uk) or Dr Ivor Simpson.
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