Mathematical and Numerical Modellers - 'Computing the Untestable' Location: RG7 4 PR, located between Reading and Basingstoke, with free onsite parking. Package: £38,020 - £57,020 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Ready to play your part? At AWE, it's not just a job, it's far more than that. Our shared purpose is to help keep the nation safe. Could this role be the opportunity for you to play your part?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. Who are we looking for? 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:A degree in Mathematics, Computer Science, or other numerate discipline.A knowledge of complex materials processes and/or experience in applying numerical modelling codes/tools to investigate these.Experience of working in Unix/Linux environmentFamiliarity with High Performance Computing (HPC) architectures environmentProgramming and/or scripting experience in Python/Shell/MATLAB/otherAble to provide technical input within own field of expertise that can influence project, team or end user.Strong communication skills verbal and written.Flexible, self-motivated and the ability to handle multiple tasks. 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 problemsDelivering representative models at all life cycle phases from 'cradle to grave'Co-ordinating cutting-edge projects with external academic partnersInspiring and developing our engineers and scientists of the futureEnsuring we have the right people, processes and plant to deliver our current and future programmesSafeguarding our nation by ensuring our deterrent is credible, effective and safe, today and into the future You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Work hard, be rewarded: We ask a lot and set the bar high because our work truly matters. In return we offer balance, with award winning benefits including:9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.Employee Assistance Programme and Occupational Health Services.Life Assurance (4 x annual salary).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. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston. #LI-AJ