Research Assistant
| Posting date: | 05 December 2025 |
|---|---|
| Salary: | £34,132 to £38,249 per year |
| Hours: | Full time |
| Closing date: | 04 January 2026 |
| Location: | Swansea, Wales |
| Remote working: | On-site only |
| Company: | Swansea University |
| Job type: | Contract |
| Job reference: | SU01330 |
Summary
We are recruiting a Research Assistant to advance numerical methods for high-fidelity transient CFD. The role centres on integrating low order finite volume approaches with modern high order discretisation techniques, enabling accurate prediction of complex unsteady flow features while controlling numerical dissipation and dispersion.
You will design, implement and evaluate numerical methods that combine low and high order formulations, and develop hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating conservative transmission algorithms that ensure consistent exchange of information between subdomains. You will also develop and optimise parallel algorithms for large scale execution on HPC systems, contributing MPI, OpenMP and memory efficient components with strong emphasis on performance profiling and optimisation. The successful applicant is expected to produce peer reviewed publications based on the developed numerical strategies and simulation results.
At Swansea University, you’ll join a technically driven, publication active team known for research in computational modelling, CFD, numerical methods and high-performance computing, with a strong culture of code quality, open and reproducible practices and mentoring. You’ll have access to modern development workflows and HPC resources, with opportunities to contribute to shared tooling and collaborate with researchers working across advanced numerical and computational topics.
Applicants should demonstrate relevant experience in numerical methods for CFD, competence in scientific programming (such as Fortran or C++), and familiarity with parallel programming (MPI and OpenMP). Experience with finite volume methods, high order discretisation or hybrid numerical frameworks is desirable. 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.
You will design, implement and evaluate numerical methods that combine low and high order formulations, and develop hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating conservative transmission algorithms that ensure consistent exchange of information between subdomains. You will also develop and optimise parallel algorithms for large scale execution on HPC systems, contributing MPI, OpenMP and memory efficient components with strong emphasis on performance profiling and optimisation. The successful applicant is expected to produce peer reviewed publications based on the developed numerical strategies and simulation results.
At Swansea University, you’ll join a technically driven, publication active team known for research in computational modelling, CFD, numerical methods and high-performance computing, with a strong culture of code quality, open and reproducible practices and mentoring. You’ll have access to modern development workflows and HPC resources, with opportunities to contribute to shared tooling and collaborate with researchers working across advanced numerical and computational topics.
Applicants should demonstrate relevant experience in numerical methods for CFD, competence in scientific programming (such as Fortran or C++), and familiarity with parallel programming (MPI and OpenMP). Experience with finite volume methods, high order discretisation or hybrid numerical frameworks is desirable. 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.