Applied Mathematician (Computational Mechanics)

at  Boeing

Brisbane, Queensland, Australia -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate13 Aug, 2024Not Specified13 May, 2024N/AGood communication skillsNoNo
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Description:

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Location:
Brisbane
Category:
Research and Development
Position Type:
Permanent
Job Reference:

THE OPPORTUNITY

Boeing Research & Technology - Australia (BR&T-A) supports the future growth and profitability of Boeing Australia’s businesses and the broader Boeing enterprise. This advanced research and development arm creates future aerospace solutions while improving the cycle time, cost, quality and performance of current systems.
BR&T is looking for an Applied Mathematician (Computational Mechanics)to join the team. The role will be working within a computational mathematics research & development group based in Australia working globally to develop and optimise multi-physics solvers for the next generation of aerospace engineering tools.
This role is based onsite at The University of Queensland, St Lucia.

As an Applied Mathematician within Boeing Research & Technology - Australia, you will

  • Be part of a team who develops and implements advanced numerical models for solving partial differential equations
  • Contribute to fundamental tools which is used by Boeing globally to improve product design
  • Foster the next generation of talented mathematicians and engineers through university collaborations

Responsibilities:

  • PhD in applied mathematics (or equivalent) and 5+ years experience with C, C++, or FORTRAN code development
  • Familiarity with computational methods for solving partial differential equations is required
  • Experience with computational fluid dynamics, computational solid mechanics, computational electromagnetics and/or parallel computing frameworks is considered an advantage


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Software Engineering

Graduate

Proficient

1

Brisbane QLD, Australia