About the University

[Employer hidden] is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life.

About the Role

We are recruiting a Research Assistant to help deliver the EPSRC programme grant REMODEL, advancing parallel mesh generation and geometry representation for industrially relevant, high-fidelity simulations at Exascale. Based at [Employer hidden], you will play a central part in a multi-institution effort that combines artificial intelligence with computational engineering to accelerate and improve pre-simulation workflows.

You will lead the design, implementation and validation of AI-driven geometry processing methods, developing algorithms and software for automated defeaturing, feature detection and intelligent simplification informed by the governing physics. This will include training and deploying machine-learning models that can recognise and classify geometric features critical to simulation accuracy, enabling the removal or simplification of features that do not affect physical performance. You will integrate these capabilities into existing geometry and meshing workflows, ensuring robustness, scalability and reproducibility across a range of engineering applications. You will manage defined tasks and milestones and collaborate closely with colleagues across the consortium to align interfaces and ensure interoperability. The successful applicant is expected to actively produce peer-reviewed publications arising from their developed techniques.

At [Employer hidden], you'll join a technically driven, publication-active team known for computational modelling and meshing research, with a strong culture of code quality, open and reproducible practices, and mentoring. You'll have access to modern development workflows and HPC resources, and opportunities to contribute to shared tooling used across the consortium.

Applicants should demonstrate strong Python programming skills, experience with machine-learning libraries such as TensorFlow or PyTorch, and familiarity with computational engineering workflows using solvers such as ANSYS or OpenFOAM. See the job description for further details.

Key Details

• Job Number: SU01553
• Contract Type: Fixed Term
• Salary: £34,132 to £38,249 per annum
• Working Pattern: Full Time
• Faculty/Directorate: Faculty of Science and Engineering
• Location: Bay Campus, Swansea
• Closing Date: 21 May 2026
• Interview Date: 1 Jun 2026
• Informal Enquiries: Jennifer Thompson ([contact hidden]), Oubay Hassan ([contact hidden])

Equality, Diversity & Inclusion

The University is committed to supporting and promoting equality and diversity in all its practices and activities. We aim to establish an inclusive environment and welcome diverse applications.

Welsh Language Skills

The Welsh language level required for this role is Level 1 - A little.

Additional Information

Applications for this role will take the format of a CV submission and cover letter.