Job Description:

This internship offers a unique opportunity to contribute to the development of cutting-edge tools in aviation safety and data analysis, leveraging the power of Machine Learning.

Mission for this internship is to:

Develop an interactive tool for mapping of Flight data recorders’ parameters based on Systems and subsystems. This will require the selected candidate to:

• Become familiarized with the system-wide functionality of Airbus aircraft 

• Codify the  potentially-affected parameters for a given incident to map the fault propagation tree 

• Conduct research on, and ultimately implemented, the most appropriate Machine Learning algorithm(s) to be leveraged for this particular time-series application

• Build data visualization and user-interface tools 

By the end of this internship, you&39;ll have delivered:

• A robust tool which will provide an exhaustive list of FDR parameters along with a practical representation of how and what all systems are impacted w.r.t a particular fault.

• A first-order proof of concept of the applicability of Machine Learning techniques in this space as demonstrated by a limited-scope use case 

Required Skills:

• Strong programming skills in Python. Knowledge of key machine learning libraries (Scikit-learn, Tensorflow) and scientific computing libraries (e.g., SciPy) is an asset.

• Experience with Machine Learning (ML) for time-series applications, including exposure to supervised and unsupervised learning algorithms, an understanding of data preprocessing, feature engineering, and data visualization methods.) 

• Experience with data visualization libraries (e.g., Matplotlib, Plotly, D3.js)

• Familiarity with UI/UX design principles for intuitive interfaces would be a plus

This internship is ideal for students pursuing degrees in Computer Science, Aerospace Engineering, Data Science, or a related field, with a keen interest in aviation data, artificial intelligence, and software development.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

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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.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom&64;airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.