CFD & Aerodynamics Research Associate – Cycling

The University Of Manchester

Greater Manchester

On-site

GBP 35,000 - 48,000

Full time

13 days ago
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Benefits offered by this job

Generous pension
29 days annual leave
Ride to work scheme
EV car scheme

Job summary

The University of Manchester invites applications for a research associate to develop a CFD workflow for aerodynamic analysis of cycling performance, including automation, mesh generation, simulation and validation against wind-tunnel data. This industrially focused project is in collaboration with GBCT.

You will design and implement high-fidelity CFD workflows, validate predictions, and support supervision of postgraduate and undergraduate researchers contributing to the project.

Qualifications

  • PhD (or near completion) in engineering, maths or physics
  • Experience using CFD software such as OpenFOAM, Code_Saturne & Star CCM+.
  • Experience developing scientific software using Python and/or C++.
  • Experience with external aerodynamic simulations.
  • Experience with mesh generation and numerical simulation workflows.

Responsibilities

  • Develop, validate and optimise a high-fidelity CFD workflows for aerodynamic analysis of cycling equipment and rider configurations.
  • Design automated simulation pipelines including geometry preparation, mesh generation, solver execution, and post-processing.
  • Validate CFD predictions against experimental wind-tunnel measurements and establish best-practice guidelines for turbulence modelling and simulations.
  • Support supervision of postgraduate and undergraduate research students contributing to the same project.

Skills

CFD
Aerodynamics
Turbulent flows
Flow control
Linux
HPC environments
Peer-reviewed publications

Education

PhD (or near completion) in engineering, maths or physics

Tools

OpenFOAM
Code_Saturne
Star CCM+
Python
C++

Job description

The University of Manchester invites applications for a research associate to develop a CFD workflow for aerodynamic analysis of cycling performance, including automation, mesh generation, simulation and validation against wind-tunnel data. This industrially focused project is in collaboration with GBCT.

You will design and implement high-fidelity CFD workflows, validate predictions, and support supervision of postgraduate and undergraduate researchers contributing to the project.

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