Job Description:

Organization: Airbus

Department: Airworthiness

Location: International

Airbus is pleased to offer a V.I.E. (Volontariat International en Entreprise) position in Madrid, Spain. This initiative provides a unique opportunity to acquire specialized professional competencies within a global aerospace leader, fostering both technical mastery and cross-cultural leadership skills.

The selected candidate will be integrated into the Airworthiness area, gaining a comprehensive 360-degree perspective on the lifecycle of aircraft safety. You will bridge the gap between real-world aviation impact and advanced AI theory, contributing to the continued airworthiness and certification of the Airbus fleet.

By diving into operational systems—including Auxiliary Power Units (APU), Exterior Lighting, and Bleed systems—you will play a pivotal role in ensuring the seamless and safe operation of our global fleet.

• Certification & Safety: Support the certification of systems modifications and conduct rigorous investigations into airline safety occurrences to enhance fleet-wide security.

• Advanced Data Modeling: Analyze large-scale flight operation datasets to identify patterns, anomalies, and predictive indicators for daily operational excellence.

• AI Model Development: Architect and implement machine learning models (e.g., predictive maintenance, anomaly detection, NLP) to optimize airworthiness activities.

• Algorithmic Optimization: Conduct research and testing to optimize AI algorithms for high-performance accuracy and scalability within a critical aviation context.

• Technical Reporting: Synthesize complex methodologies and results into clear, concise documentation for presentation to multidisciplinary engineering teams.

We are seeking candidates with a Master’s Degree in Aerospace Engineering with knowledge in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical discipline.

Technical Requirements:

• Aerospace Knowledge: Familiarity with aircraft systems and aerospace engineering principles.

• Programming Proficiency: Advanced command of at least one major AI/ML language (e.g., Python).

• AI/ML Expertise: Practical experience with machine learning frameworks, libraries, and fundamental principles.

• Knowledge on software and cloud engineering practices

• Soft Skills: Strong analytical capabilities, meticulous attention to detail, and the ability to operate effectively in both autonomous and collaborative environments.

• Linguistic Proficiency: Professional-level written and verbal communication skills in English.

Participating in this program offers unparalleled access to:

• High-Impact Projects: Direct contribution to global aviation safety and innovation.

• Expert Mentorship: Close collaboration with, and guidance from, world-class senior engineers.

• Proprietary Data Access: Exposure to sophisticated, real-world aerospace databases and tools.

• Global Networking: A significant expansion of your professional network within the international aeronautical industry.

Airbus is defined by a culture of diversity and collective determination. We invite you to contribute your expertise to a team that strives to make the world a more connected and safer place.

Are you prepared to elevate your career? Apply today and make it fly!

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.