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Research Fellow - REMODEL EPSRC Programme Grant

Queen's University Belfast

Location: Belfast
Salary: £41,519 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 22nd September 2025
Closes: 6th October 2025
Job Ref: 25/112884

The successful candidate will work on the five year, EPSRC funded, Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations REMODEL Programme Grant (led by the University of Swansea).

The postholder will join a research team of leading academics, research fellows and PhD students conducting engineering design related research and will be involved with the wider REMODEL project team, which will involve leading research into using leading computational design and simulation (FEA and CFD) on the new UK National Supercomputer. The postholder will research novel methods for effectively working with geometry models of large and complex assemblies in HPC environments to support high-fidelity engineering simulations (e.g. FEA and CFD).

This post will be primarily office based, with some opportunities for hybrid working. The post requires undertaking research, under supervision, into state-of-the-art geometry handling methods to support working with geometry models of large and complex engineering assemblies in HPC environments. Direct collaboration with academic partners will be a key aspect of the role, including regular visits to research facilities across the UK.

About the person:

To be shortlisted for interview, candidates must demonstrate they meet the essential criteria, which includes:

  • Hold at least a 2:1 honours degree in Mechanical, Aerospace engineering, Mechatronics or closely related discipline,
  • Haves, or be about to obtain, a relevant PhD in Mechanical, Aerospace Engineering, Mechatronics or closely related discipline.
  • Demonstrable experience in the advanced use of Computer-Aided-Design and mesh based Computer Aided Engineering (i.e. FEA or CFD) software tools,
  • A proven track record of using relevant techniques to carry out analyses, critical evaluations, and interpretations of data as relevant to the research project,
  • Demonstrable experience in working effectively as part of a research team,
  • Have a track record of high quality publications appropriate to stage in career.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

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