Vacancies | REMODEL

Current opportunities

Research Assistant: Mesh Generation for High-Fidelity CFD Simulation

Postdoc

Location: Bay Campus, Swansea

Closing date: 8 July 2026

Job description

We are recruiting a Research Assistant to contribute to advanced aerodynamic simulation within the EPSRC programme grant REMODEL, focused on enabling high-fidelity, industrial-scale CFD workflows. Based at Swansea University, you will work on the analysis of flows over complex geometries, with particular emphasis on accurate boundary layer resolution, multi-scale features, and high-speed regimes relevant to real-world applications.

The role will involve applying CFD methodologies to challenging problems, generating and analysing high-quality simulations for realistic engineering configurations. A central focus will be on achieving robust boundary layer representation using structured and hybrid meshing approaches with geometry-aware refinement.

You will contribute to the development and enhancement of an existing high-performance mesh generation framework, versions of which are used in industrial environments, including Airbus Defence and Space and HPC Singapore. This will involve designing and implementing new capabilities for unstructured and hybrid mesh generation, boundary layer construction, and geometry-conforming discretisations. A significant proportion of the work will involve developing and extending meshing software, with a strong emphasis on robustness, scalability, and performance for HPC applications.

You will collaborate closely with partners across the REMODEL consortium to ensure interoperability with solver technologies and integration into scalable HPC workflows. The role also includes contributing to peer-reviewed publications and supporting the translation of research developments into practical simulation capability.

At Swansea, you will join a technically focused and research-active group with strengths in CFD, meshing, and high-performance computing. You will have access to modern HPC resources, established development practices, and opportunities to contribute to software used across multiple institutions.

Applicants should demonstrate experience in parallel programming (MPI/OpenMP), alongside strong Fortran or C++ engineering skills. Prior exposure to mesh generation, adaptivity, or computational geometry would be advantageous. Experience with computational fluid dynamics, particularly in aerodynamic applications, is beneficial. See the job description for further details.

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Closed vacancies

Research Assistant: AI-Driven Geometry Processing and Automated Defeaturing

Postdoc

Status: Closed

Job description

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.

Research Officer: Parallel Mesh Generation, Adaptivity and Geometry Processing for Exascale Simulation

Postdoc

Status: Closed

Job description

We are recruiting a Research Officer 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 blends algorithmic innovation with robust, production-quality research software.

You will lead the design, implementation and validation of unstructured parallel meshing methods, adding h/p adaptivity and geometry-conforming capabilities. This will include developing parallel mesh adaptivity algorithms for heterogeneous CPU/GPU architectures, with a strong emphasis on performance profiling and optimisation. 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.

Applicants should demonstrate recent experience in parallel programming (MPI/OpenMP/CUDA), strong Fortran and C++ engineering, and prior exposure to mesh generation, adaptivity or computational geometry. See the job description for further details.