To stay on top, Airbus recognises the importance of supporting high-achieving and talented undergraduates. We do this through offering challenging placement opportunities during which your skills and potential are fully maximised.
Our placements give a unique insight into potential career paths within Airbus. They are designed so that you can put your theoretical knowledge into practice and gain crucial industry experience. The skills and knowledge you gain will improve your chances of a future role within the Airbus and should benefit your future studies.
About Us !
As a successful candidate you will work in the transnational Virtual Product Engineering team of the Central R&T organisation in the UK, based in the Airbus Aerospace Integrated Research and Test Centre in Filton, Bristol. it is a team based on agile engineering principles and placing a strong value on innovation. It has a multinational makeup and team members will have opportunities to interact with colleagues in France and Germany. The team focus is on the development of future capabilities to support Multidisciplinary Design and Optimisation through Modelling and Simulation.
What will you be doing?
During the placement you will be supporting the development of new approaches to enable the rapid exploration of design options for future aircraft products. Utilising aerodynamics , structures and systems simulation methods the key disciplinary characteristics of an engineering problem can be described. Fusing this data together enables Multi Disciplinary Analysis and Optimisation to be realised that can identify the best engineering solution for a given objective.
The placement will investigate how techniques such as AI / Machine Learning, Agent Based Modelling and, potentially, Quantum Computing can enable a rapid understanding and exploration of the aircraft design space. Such techniques offer opportunities to improve efficiency and reduce the environmental impact of air transport. At the end of the placement you will support the demonstration of such approaches on an aircraft and air transport system related engineering problem.
Successful candidates will be able to demonstrate the following;
- Enrolled full time student within Engineering, Computer Science, Mathematics, or a similar field of study.
- A passion for Aerospace and one or more of its related engineering disciplines.
- Experience in computer programming and a willingness to learn and apply the Python programming language and its common packages to problems in engineering modelling and simulation, optimisation and machine learning.
- An ability to summarize findings in technical reports.
- A good team player with excellent communication skills, and able to work independently.
- Fluency in English