EDF Energy is a core part of the EDF Group, one of the largest energy companies in Europe with key business operations in the UK, France, Italy, Belgium and Poland. We are the UK's leading generator and supplier of low carbon energy, producing around one-fifth of the nation's electricity and employing more than 15,000 people. We operate nuclear, coal and gas power stations, wind farms, and combined heat & power plants. We have a focus on safe, dependable energy generation and an ethos of service excellence. We intend to play a leading role in new nuclear build in the UK and secure a bright future for the combined business and its employees.
The teams that make up our central functions do so to form the very heart of our business. From the HR team looking after the interests of our people, to the property services team providing the great working environment that our employees enjoy every day, our central function teams ensure we're fully supported in building a better energy future. It also includes areas such as Strategy & Corporate Affairs, Chief Information Office, Research & Development and Supply Chain who all provide critical support to the business units across the company.
The Candidate will contribute to the EDF Energy R&D UK Centre programme on modelling and simulation of the nuclear cores.
You'll be involved in particular in two projects: - Development and validation of new data analysis and visualisation tools, to be more efficient in the post-processing of the results of the simulations on the whole graphite core. - Development of probabilistic approaches to correlate the distribution of cracked bricks with the probability of failure of the core under extreme loadings.
This opportunity is suitable for any individual that is currently studying (or has recently completed) a degree in Computer Sciences, Mathematics, Statistics, Programming, or an associated subject. You'll be on track to achieve or will have already achieved a 2:1 undergraduate degree or 2:2 postgraduate qualification. Basic knowledge in mechanical modelling, statistical approaches and finite elements would be a plus. You'll be able to interact with different stakeholders, support different projects and work independently if needed.