Research Assistant

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 Swansea University, 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 Swansea, 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.

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 from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation.

As an inclusive and welcoming workplace, we value people for their skills regardless of their background. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English.

Welsh Language Skills

The Welsh language level required for this role is Level 1 - A little. The role holder will be able to pronounce Welsh words, answer the phone in Welsh (good morning/afternoon) and use very basic everyday words and phrases (thank you, please etc.). Level 1 can be reached by completing a 1 hour course.

The University is a proud bilingual institution, our Welsh Language Strategy outlines our aspiration to promote the language and enable our staff to engage with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English. Welsh speakers have the right to an interview in Welsh. Applicants for a role where Welsh skills are essential are expected to present their application in Welsh and will be interviewed in Welsh, if shortlisted.