CAE Material Model Engineers

AWE has great opportunities for CAE Material Model Engineers

These are exciting opportunities for passionate CAE (Computer Aided Engineering) Material Model Engineers to lead the development of advanced, non-linear material models and to integrate them into the finite element analysis codes used by the team. As well as developing material models, these roles will involve liaising with material characterisation teams to obtain mechanical test data and using numerical optimisation techniques to calibrate models to test. You will also be expected to lead the design and development of a database of material models using Granta MI and to deploy it for use by modelling teams.

The Engineering Analysis Team support AWE's mission by providing a range of computational mechanics to the business, such as finite element analysis (FEA), computational fluid dynamics (CFD), thermal and blast analysis. The team work on challenging, weapons-related projects which underpin continuous-at-sea-deterrence and contribute to the security of the nation.

Location: Aldermaston, West Berkshire. We are located between Reading and Basingstoke, with onsite parking.

Salary: £36,000 - £65,000 (depending on your suitability and level of experience)

Closing date: 10th June 2024

Who Are We Looking For

A degree-level background in a STEM subject is desirable. The Engineering Analysis Team has a diverse set of skills and, as such, we welcome applications from candidates who can demonstrate some level of knowledge or experience in one or more of the following areas:​

• Theoretical background in structural analysis and solid mechanics

• Theoretical background in material behaviours such as viscoelasticity, viscoplasticity and damage

• Experience with computer code development and working knowledge of C++ and/or Fortran

• Familiarity with numerical algorithms and techniques applicable to the finite element method and constitutive model implementation

• Experience in the development of constitutive models for implicit and explicit finite element modelling codes

• Experience with Python scripting and automation for model pre-/post-processing and workflow efficiency

• Knowledge of the experimental techniques used for material characterisation and experience with diagnostic techniques such as digital image correlation (DIC)

• Knowledge and experience of calibrating material models to experimental test data using numerical optimisation methods

• Familiarity with ANSYS Granta MI and design of database schemas would be highly desirable

• Familiarity with ANSYS optiSlang would be highly desirable

What Will You Get From Us?

As part of our People Promise, AWE (one of the best 25 big companies to work for in the UK) has a range of benefits to suit you. These include:

• Time to recharge your batteries with 270 hours of annual leave (plus every other Friday off work)

• Consideration for flexible working arrangements so that your work may fit in with your lifestyle. Just let us know on your application if you wish to work part time

• Opportunities for Professional Career Development that include funding for the annual membership of a relevant professional body, access to mentors and training

• Employee Assistance Programme and Occupational Health Services

• A generous defined contribution Group Personal Pension (we will pay between 9% and 13% of your pensionable pay depending on your own contribution)

• Life Assurance

• Discounts - access to savings on a wide range of everyday spending

• Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring for your family

• A host of voluntary & core benefits to suit your health and wellbeing - more information available on our careers site

• Relocation package available (terms and conditions apply)

• Potential opportunities to travel with work for conferences and collaboration

Important things you need to know:

• You must be a UK national who has been resident in the UK for the past 10 years.

• Interviews will be 90 minutes in length and will be held over Microsoft Teams. You will be required to prepare a 10-minute presentation in advance.

• Candidates must be willing and able to obtain and maintain the necessary security clearance for the role. This will be funded by AWE.

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* Agencies: Please note that we do not out-source our recruitment