In a world where engineering simulations are the backbone of innovation—from aerospace and civil engineering to complex industrial systems—the need for faster, smarter, and more sustainable computational tools has never been more urgent. Swansea University has now opened a fully funded PhD studentship in AI-Assisted Mesh Generation and Adaptation for Industrial Simulation, one of the most cutting-edge research avenues emerging in computational engineering.
This opportunity invites passionate future researchers to step into a transformative field where artificial intelligence meets high-fidelity simulation, reshaping how industries solve real-world multiphysics challenges.
This is a golden chance for global applicants interested in machine learning, scientific computing, geometry processing, and simulation technologies to join a project led by renowned experts Dr Jennifer Thompson and Prof Oubay Hassan, under the EPSRC funding framework.
Funding & Benefits
This opportunity is fully designed to support talented researchers pursuing high-impact computational engineering research. You’ll gain both financial security and hands-on exposure to industrial-grade simulation environments.
What this studentship offers:
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Full Tuition Fee Coverage
Complete funding of UK and international tuition fees for the full duration of the scholarship. -
Annual Stipend at UKRI Rate
Currently £20,780 for 2025/26, supporting your living and research expenses over the 3-year PhD period. -
High-Level Research Experience
Work within state-of-the-art facilities at Swansea University’s Bay Campus, engaging in geometry-driven, AI-enhanced mesh adaptation for real industrial applications. -
Specialist Skill Development
Build rare and valued expertise linking AI, computational methods, and industrial simulation—skills that position you strongly for careers in engineering simulation, scientific computing, and applied machine learning.
Eligibility Requirements
This programme welcomes both UK and international applicants, making it accessible to driven candidates worldwide.
Who can apply:
- Open to UK and International Students
EPSRC DLA rules allow up to 30% of the cohort to be international applicants, with no tuition fee difference charged. - Academic Qualification Requirement
Applicants must hold at least a 2.1 undergraduate degree (or international equivalent) in Engineering or a closely related science discipline. - English Language Requirement
IELTS 6.5 overall, with no component below 5.5, or a Swansea University–recognized equivalent. - Country-Specific Entry Requirements
International qualifications will be assessed using Swansea University’s official country comparison guidelines. - ATAS Clearance (if required)
Some applicants may require ATAS clearance—but this is not needed at the scholarship application stage. - Additional Requirements
- Completion of the EDI Monitoring Form is mandatory.
- Applicants must meet UKRI eligibility standards.
How to Apply?
Applying is straightforward but must be completed with precision to avoid disqualification:
- Submit the full online application form for the aligned PhD in Civil Engineering.
- Under Programme Related Information, enter RS928 as the scholarship code.
- In the Proposed project title/studentship title field, write:
RS928 – Fully Funded PhD Studentship in AI-Assisted Mesh Generation and Adaptation for Industrial Simulation - Select Scholarship Funding only under the Funding section.
- Upload all required documents: CV, transcripts/certificates, cover letter with Supplementary Personal Statement, reference letter, English language proof (if applicable), visa copy (if applicable), and confirmation of EDI form submission.
Application Deadline
The last date to apply for the Fully Funded PhD Studentship in AI-Assisted Mesh Generation and Adaptation for Industrial Simulation (RS928) is 2 February 2026.