Correlation Aerodynamicist

Location: Woking, GB

Job Type: Permanent  

Contract Duration: Permanent

Purpose of the Role:

To maximise the quality of aerodynamic correlation between CFD, wind tunnel and track, in order to enhance the hit-rate of our aerodynamic design tools on the performance of the race car.

Role Dimensions:

You'll be part of the correlation group, within CFD and Aero. You'll need to have flexibility in working hours, including some evenings and during selected race weekends, and although you'll be predominantly based at the McLaren Technology Centre in Woking, some travel may be required.

Key Relationships:

  • All Aerodynamicists in the department
  • Aerodynamicists from the Aerodynamic Performance group
  • CFD methodologists
  • Racing Technology group

Principal Accountabilities:

  • Perform detailed analysis of CFD, wind tunnel and track data to evaluate and improve correlation between them
    • This will include, but not be limited to, force data, rakes, PIV, surface pressures, probes and flow visualisation
  • Work with other aerodynamicists to devise and prepare correlation programmes for the wind tunnel – define test lists, prepare configurations etc., support the test, analyse results and report back afterwards
  • Devise and submit correlation cases for CFD, analyse and report back
  • Build an understanding of the track environment and when required, devise, prepare and support correlation experiments at the track
  • Develop novel aerodynamic analysis techniques to enhance our understanding of aerodynamic phenomena on the car
  • Work with appropriate design teams to minimise the intrusiveness and complexity of correlation equipment (e.g. rakes) and to help optimise the efficiency of our wind tunnel and track testing

Knowledge, Skills and Experience:

  • High level of aerodynamic expertise with a degree in a relevant subject
  • Experience in both CFD and wind tunnel disciplines; trackside would be a benefit
  • Demonstrate good knowledge of flow structure characteristics and flow breakdown mechanisms
  • Good data driven analysis skills
  • Experience of planning and organising projects to pre-agreed targets

Personal Attributes:

  • Excellent problem-solving skills and analytical approach, with attention to detail
  • A team player but with the initiative to make own decisions and work with minimal supervision
  • Self-starter, able to identify requirements independently, then make proposals for solutions
  • Able to work under pressure, to tight deadlines, often with ever-changing priorities
  • Good communication skills
  • Aptitude to learn from others and share knowledge with others
  • Flexible approach to working hours and willing to travel abroad

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