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PhD Studentship: Biomedical Engineering: Fully Funded PhD Studentship in Medical Environments and Digital Image Correlation: Advancing Translation and Optimising Reliability (MEDICATOR) (RS883)

Swansea University - Engineering

Qualification Type: PhD
Location: Swansea
Funding for: UK Students
Funding amount: £20,780 for 2025/26. This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate
Hours: Full Time
Placed On: 8th August 2025
Closes: 27th August 2025
Reference: RS883

Open to: UK fee eligible applicants only

Funding providers: EPSRC and LaVision UK Ltd 

Subject areas: Biomedical Engineering, Experimental Mechanics, Image-Based Measurements, Biomechanics   

Project start dates:

  • 1 October 2025 (Enrolment open from mid-September) 
  • 1 January 2026 

Supervisors: Hari Arora (Biomedical Engineering), Richard Johnston (Materials) and Iain Whitaker (Medicine) 

Aligned programme of study: PhD in Biomedical Engineering 

Mode of study: Full-time

Location: Bay Campus (predominantly)  

Project description:  

This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical practice. 

Digital Image Correlation (DIC) is a well-established, non-contact optical technique used to measure motion and deformation. It provides comprehensive full-field deformation data, essential for analysing complex materials, structures and model validation. The DIC community has developed guidelines to ensure robust measurements, continually advancing standards through ongoing challenges. 

In experimental mechanics, classical materials testing also benefits from a range of well-established methods. However, biomedical applications lack such a wealth of standardized protocols to address the diverse and challenging nature of heterogeneous biological materials and environments. This absence of guidelines extends to the application of DIC in biomedical contexts, limiting its potential. DIC holds significant promise for enabling non-contact measurements on delicate or sensitive structures, highlighting the need for standardized practices in this field. 

If robust and reproduceable, DIC would transform the field, from tissue scaffold design in tissue engineering evaluation to surgery. The student will focus on establishing best practice for widespread applicability, building on past skin, heart, lung, brain and biomaterials research within the Lab. This experimentally focused PhD position will fit a wide range of application interests, suitable for applicants from all engineering and scientific backgrounds. The student will develop test protocols, in this highly interdisciplinary project, by leveraging collaborations across various Swansea University facilities to use DIC in both biomechanics labs and simulated clinical environments. The Biomedical Engineering Simulation and Testing (BEST) Lab will be the primary site of work led by Dr Arora with opportunities to work with Reconstructive Surgery & Regenerative Medicine Research Centre (ReconRegen) led by Professor Iain Whitaker, Advanced Imaging of Materials Facility (AIM) led by Professor Richard Johnston and Swansea University's Simulation and Immersive Learning Centre (SUSIM). 

The student will develop novel medically bespoke protocols and toolsets for engineering measurements relevant to clinical settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research at Swansea University (Richard Johnston), building on decades of research alongside DIC solution supplier (LaVision UK). 

Eligibility

Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA (Full list of categories for HE in Wales) 

PhD: Applicants for PhD must hold an undergraduate degree at 2.1 level (or non-UK equivalent as defined by Swansea University) in Engineering, physical sciences or similar relevant science discipline. We also welcome applications from graduates in computational science or mathematics. Note for international and European applicants: details of how your qualification compares to the published academic entry requirements can be found on our Country Specific Entry Requirements page. 

 

 

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