Mathematical and Statistical Modellers

Mathematical and Statistical Modellers - 'Computing the Untestable' Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: £36,770 - £50,650 (depending on your suitability 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. Let us introduce the role 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 a background in one or more of the following: A degree in Mathematics, Statistics, Physics, Computer Science, or other numerate discipline. Experience of uncertainty quantification and/or parameterizing complex models. Experience of translating complex systems into mathematical models and applying analytic and numerical schemes to produce solutions. Experience of applying design of experiments techniques and interpreting experimental data. The following skills would also be advantageous: Experience of working in a Unix/Linux environment. Familiarity with High Performance Computing (HPC). Programming experience in one or more language, such as Python/MATLAB/R/C++. Experience working in a cross-discipline environment, and able to provide technical input to support decisions Knowledge of good software development practice Strong communication skills, both verbal and written. Flexible, self-motivated and has 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. 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 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. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 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-KT