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AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026 in UK | Fully Funded

Uk

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Feb 2, 2026
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Application opens on the official site (www.swansea.ac.uk). Scholarship Union does not collect applications.

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Fellowships Summary
Country
 UK
Study Level
 PhD
Benefits
 Fully Funded

AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026 is an EPSRC-funded doctoral opportunity at Swansea University for candidates passionate about artificial intelligence and engineering simulation. The PhD project focuses on building intelligent, AI-driven mesh generation methods that enhance accuracy, efficiency, and sustainability in high-quality industrial modelling and simulation.

To be eligible, applicants should have at least a 2:1 undergraduate degree or an international equivalent in Civil Engineering, Computational Engineering, Aerospace Engineering, or a closely related field. The fellowship is open to both UK and international students, in line with UKRI/EPSRC rules, and applicants must meet the university’s English language requirements, including IELTS or an approved equivalent.

Benefits of AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026

  • Full tuition fee coverage (UK and International students)
  • Annual stipend at UKRI rate (currently £20,780 for 2025/26)
  • Training at the intersection of machine learning, geometry processing, and industrial simulation
  • Supervision by Dr Jennifer Thompson and Prof Oubay Hassan
  • Research based at Bay Campus, Swansea University

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Eligibility Criteria for the AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026

  • Eligible Countries: UK and International students
  • Acceptable Course or Subjects: The scholarship will be awarded in subjects related to:
  • Civil Engineering
  • Computational Engineering
  • Aerospace Engineering
  • Related engineering or applied science disciplines
  • Admissible Criteria: To be eligible, applicants must meet the following criteria:
  • Hold an undergraduate degree at 2:1 level or equivalent in Engineering or a closely related discipline
  • Meet UKRI/EPSRC eligibility requirements
  • Meet English language requirements: IELTS 6.5 overall (minimum 5.5 in each component) or an accepted equivalent
  • Be able to study full-time
  • ATAS clearance may be required for some applicants (not needed at application stage).

How to Apply for the AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026?

  • Review the PhD project details and eligibility requirements carefully
  • Prepare your academic CV, transcripts, and relevant certificates
  • Write a clear research statement aligned with AI-based mesh generation and industrial simulation
  • Draft a focused personal statement explaining your motivation and background
  • Identify and contact academic referees for references
  • Complete the Swansea University online PhD application form
  • Upload all required documents through the application portal
  • Mention the specific PhD fellowship title in your application
  • Submit the application before the official deadline
  • Monitor your email for shortlisting updates or interview invitations

Frequently Asked Questions (FAQs)

AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026 is fully funded PhD blends AI with mesh generation for industrial simulation, is open to qualified UK and international applicants, runs three years from Bay Campus, and offers full fees and stipend support, requiring a strong technical degree and English proficiency.

What is the AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026?

This fully funded PhD studentship explores how machine learning can improve mesh generation and adaptation for industrial simulation by learning links between geometry changes and mesh needs, aiming for better quality and efficiency in engineering simulations.

Who can apply for this AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026?

AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026 is open to both UK and international applicants who meet eligibility rules; international students are welcome and won’t pay extra fees, though only up to 30% of the cohort can be international before places are filled.

What academic background do I need to apply?

Applicants should hold at least a 2.1 undergraduate degree or equivalent in engineering or a related science subject to be considered for this PhD, ensuring they are prepared for computational and technical research components.

What English language scores are required?

You must demonstrate English ability with an IELTS score of 6.5 overall and at least 5.5 in each component or an equivalent accepted by the university to qualify for this research studentship.

Where will the PhD study take place?

The research will be based full-time at Swansea University’s Bay Campus, giving you access to engineering facilities and community while you work on mesh generation and industrial simulation topics.

When does the project start and when is the closing date?

AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026 starts on 1 October 2026, with the application deadline set for 2 February 2026, so planning your submission well before that date is key.

Who supervises this PhD project?

You’ll be supervised by experts in the field including Dr Jennifer Thompson and Professor Oubay Hassan, guiding your research into AI-assisted mesh generation in engineering contexts.

What does the funding cover?

AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026 covers full tuition and offers an annual stipend at the UKRI rate (around £20,780 for 2025/26), supporting your living and research over three years of study.

What will I learn during the AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026?

You’ll build skills at the intersection of machine learning, geometry processing and industrial simulation, exploring how AI can automate mesh adaptation and enhance prediction quality in complex engineering problems.

How do I apply for AI Based Mesh Generation for Industrial Simulation PhD Fellowship 2026?

Apply online using the full application form, include the RS928 code and title, upload a CV, transcripts, cover letter, references, and proof of English proficiency to be considered for the award.


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This is Tanvir Ahammed Shovo. I am a content contributor at Scholarship Union, where I collect and publish information about global scholarships, fellowships, conferences, and various international opportunities for students. I hold a Bachelor of Business Administration (BBA) and a Master of Business Administration (MBA) in Accounting. With a strong interest in education, research, and international opportunities, I focus on collecting verified information from official sources and presenting it in a clear and simple way so that students from around the world can easily access the information they need. My goal is to inform students about fully funded scholarships, academic programs, and professional opportunities that can support their educational and career development. Through my work at Scholarship Union, I aim to make information about international education and scholarships more accessible and to help students stay informed about academic opportunities around the world.

Joined Oct 9, 2025
Published
Updated Dec 14, 2025
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