About the Position

The James Watt School of Engineering at the University of Glasgow, in collaboration with Freudenberg Flow Technologies (FFL), invites applications for a fully funded PhD position. This cutting-edge project focuses on the development of GPU-accelerated simulation capabilities to enhance finite element analysis (FEA) for lifetime estimation of large connector seals. The successful candidate will contribute to groundbreaking advancements in computational mechanics, solid mechanics, and numerical modeling.

Project Overview

Freudenberg, a global technology leader, specializes in developing advanced solutions for various industries. Within this partnership, the focus is on improving FEA capabilities for large-scale connector seals. The current challenges in the field include extended simulation times (10+ hours) and low accuracy in stress distribution due to limitations in commercial software.

This project will address these challenges by:

1. Implementing higher-order finite element (FE) formulations for large deformation elastoplastic contact.
2. Developing GPU-accelerated algorithms to significantly reduce computational time.
3. Enhancing accuracy through adaptive mesh refinement and robust error indicators.

These advancements will pave the way for accurate, scalable, and efficient simulations, enabling faster and more reliable lifetime estimations for industrial applications.

Key Responsibilities

As a PhD candidate, you will:

• Implement higher-order mixed FE formulations for elastoplastic contact in large deformation scenarios.
• Develop GPU-accelerated and scalable algorithms based on block solvers.
• Design robust error indicators and automatic mesh refinement algorithms (hp-refinement).
• Validate and calibrate the developed methods against experimental data provided by Freudenberg.
• Collaborate with Freudenberg’s engineering team to ensure practical applicability of developed tools.
• Publish research findings in high-impact journals and present at international conferences.

Eligibility Criteria

Applicants must:

• Hold a First or Upper Second-Class Honours degree (or equivalent) in Engineering, Computational Science, or a related field.
• Demonstrate strong knowledge in solid mechanics, numerical methods, and computer programming.
• Be highly motivated and capable of working independently and collaboratively.
• Have excellent communication skills, both written and verbal.

What We Offer

The studentship includes:

• Full coverage of tuition fees for 3.5 years.
• An annual stipend of £19,237 (2024/25 rate) to support living expenses.
• Funding for IT equipment, conference attendance, and training workshops.
• Access to state-of-the-art computational facilities at the University of Glasgow and industrial expertise from Freudenberg.
• Opportunities to engage in industrial collaborations and contribute to impactful, real-world engineering challenges.

Application Process

To apply:

1. Visit the official University of Glasgow application portal.
2. Submit the following documents:
   • A detailed CV highlighting your academic achievements and relevant experience.
   • A personal statement outlining your motivation for this PhD project.
   • Academic transcripts and degree certificates.
   • Contact details of two academic referees.

Application Deadline: 28 February 2025

Incomplete applications will not be considered. We recommend contacting the lead supervisor, Dr. Andrei Shvarts for informal inquiries prior to applying.