Digital Transformation Placement

by Airbus

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Job Details

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Deadline: 17th November 2017
Salary: Competitive
Length: Placement (10 Months+)
Roles: Computer Systems Engineering, Computer Science
Location: South West
City: Filton

About Airbus

A commercial aircraft manufacturer, with Space and Defence as well as Helicopters Divisions, Airbus is the largest aeronautics and space company in Europe and a worldwide leader. In 2016, it generated revenues of € 67 billion and employed a workforce of around 134,000.

Airbus is at the forefront of the aviation industry, building the most innovative commercial aircraft and consistently capturing about half of all commercial airliner orders. Thanks to its deep understanding of changing market needs, customer focus and technological innovation, Airbus helps airlines grow and people connect.

Digital Transformation Placement

At Filton, over 4,000 people are employed in the design and manufacturing areas, as well as in business support roles such as procurement, finance and customer service. More than 2,000 engineers at Filton are involved in a range of areas, including wing integration, flight physics, structures and systems - with several hundred engineers also working on research and technology for future aircraft projects.

The internship is proposed by the 'Digital Wing' team within the Engineering Wing Structures function. They are responsible for developing process methods and tools for the Engineering function, as well as industrializing new technologies such as data analytics and immersive technologies.

Tasks

The intern has the opportunity to be involved in a variety of work during the internship. Most of the work is split into two disciplines:

  1. Big Data Analyses - This is an opportunity will build on the intern's skills in data-driven analytics and coding. With massive amounts of data available from test, simulation (including virtual test), industrial and operational sources we require efficient ways of identify value in the data.
  2. Windows Holographic Development - Airbus is a strategic partner in the Microsoft Hololens programme, giving us early access to holographic hardware and software.

Big Data Analyses:

The objectives below ramp up in complexity and are in order of priority. It could be possible for a particular student to choose an objective where they have the most interest and experience and then focus on that objective.

  1. Detect trends/anomalies from set of KPIs obtained by processing raw data
    Removal of known system and environmental natural influences/behaviours, such as load cases and temperature, enabling the identification of unexpected trends that in turn highlight unforeseen system influences/behaviours. Model data may be used as a reference of the expected behaviour.
  2. Detect trends/anomalies directly from raw time series data using a learning approach
    Application and tuning of a learning system to identify "events" directly within time series data and then recognise the signature of these events. Identification of the true physical relationships. Application of this technique to detect trends/abnormalities.
  3. The evolution of the correlation matrix over time
    Ability for sampled data to efficiently calculate a correlation matrix for a time frame and then analyse the evolution of this over time.

Skills

Must be an undergraduate for the full duration of the placement studying towards a degree in one of the following (or similar):

  • Data Analytics
  • Data Science
  • Software Engineering
  • Computer Science

The student requires a pro-active, confident personality who is able to engage customers and key stakeholders. They will be supported but the business however stakeholders will be busy with operational demands. It requires confidence to approach contacts and secure their time to deliver the required solution. Moreover, this is a real Engineering environment and the data/tools may have gaps/bugs/issues that need to be addressed or worked around. Hence, patience, flexibility and adaptability are important qualities.

Preferred skills

General programming experience, particularly in the scope of one/both of the following:

  • Data Science and Analytics. - Languages we prefer: Python, Spark, R. Matlab and Simulink are regularly used by our Engineers and may prove useful. It can also be useful to be familiar with visualisation tools such as Spotfire.
  • Game Engine Development - Unity development, C#, .net framework, UWP. Game modelling and design may prove useful

Contact

Please let us know if you need us to make any adjustments to allow you to access and participate fully in the recruitment process. Examples of this may include (but is not exclusive to) accessible facilities; additional time for written exercises; auxiliary aids; room layout; dietary requirements etc. If you wish to discuss this further please contact via email interns@airbus.com.

Any information disclosed will be treated in the strictest confidence.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

How to apply

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