Mathematical and Numerical Modellers

Basingstoke, Hampshire / Berkshire, Reading
27 Apr 2021
18 May 2021
Contract Type
Full Time

AWE is currently recruiting for Mathematical and Numerical Modellers - 'Computing the Untestable'

The Modelling Team in Materials and Analytical Science (MAS) at AWE is looking for Scientists at various stages of their careers across Materials, Mathematical and Chemical Modelling disciplines to support research and development within a wide range of technically challenging projects.

Location - Reading / Basingstoke Area

Salary, £33,300 - £49,920 (DOE)

AWE offer a competitive salary, market leading contributory pension scheme, generous holiday entitlement, excellent work/life balance including a 9-day working fortnight and flexible working hours (role dependent). A salary sacrifice scheme is also available. We will consider candidates looking for full time or part time hours.

We currently have roles available in the following disciplines and are interested in hearing from candidates with experience in one or more of the following:
  • Knowledge of materials science
  • Experience of running materials modelling codes
  • Experience in scientific computing languages
  • Experience with finite element or finite volume techniques
  • Experience in uncertainty quantification
  • Experience with asymptotic methods and producing analytical solutions for numerical models
  • Experience in constructing materials models of representative systems

In growing our capability across these areas, we will also be looking to grow your skills and knowledge as a Modelling Scientist with opportunities for development and progression across our programmes of work. You'll have access to some of the best computing resources in the UK, a wide range of software, and like-minded colleagues across science and engineering.

If you think you have what it takes to Compute the Untestable and directly shape the future of our nuclear deterrent, apply now for a role to help with:
  • Finding novel modelling solutions to difficult real-world testing problems
  • Delivering representative models at all life cycle phases from 'cradle to grave'
  • Co-ordinating cutting-edge projects with external academic partners
  • Inspiring and developing our engineers and scientists of the future
  • Ensuring we have the right people, processes and plant to deliver our current and future programmes
  • Safeguarding our nation by ensuring our deterrent is credible, effective and safe, today and into the future

To be considered for these roles, you must have a degree or higher qualification in a physical science or mathematics discipline or proven experience working in a similar environment and possess strong communication skills.

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