AI and Uncertainty Quantification Apprentice
Airbus Aircraft
Job Overview
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Job Description
AI and Uncertainty Quantification Apprentice at Airbus
Join Airbus and embark on an exciting adventure in artificial intelligence and uncertainty quantification. This apprenticeship offers a unique opportunity to apply your academic knowledge in a challenging, real-world professional environment. You will be part of a dynamic team at the forefront of research and innovation.
About the Role
As an Apprentice in Artificial Intelligence and Uncertainty Quantification, you will join Airbus Central R&T at the Issy-Les-Moulineaux site. You will be an integral part of the Virtual Product Engineering department, contributing to the development of novel methods for complex engineering problems. This apprenticeship integrates probabilistic methods into Scientific Machine Learning models to quantify prediction confidence and enhance the robustness of physical modeling in fields like aerodynamics, mechanics, and electromagnetics.
Key Responsibilities
- Apply Scientific Machine Learning models to specific Airbus use cases.
- Implement uncertainty quantification techniques for machine learning model predictions.
- Optimize models for improved precision and robustness with uncertain simulation data.
- Evaluate the performance of AI and uncertainty quantification models.
- Present findings and draft technical reports in an international setting.
What You'll Bring
- Currently pursuing a Master 1 (BAC+4) level education in Artificial Intelligence or Applied Mathematics.
- Strong foundation in Probability and Statistics; knowledge of Uncertainty Quantification (UQ) methods is a plus.
- Solid understanding of Machine Learning algorithms, particularly Deep Neural Networks.
- Knowledge of Bayesian Learning is a strong asset.
- Proficiency in Python programming and experience with Git version control.
- Excellent communication skills for presentations and technical writing.
- Strong team spirit and ability to work in a multicultural environment.
- Analytical mindset and a proactive approach to problem-solving.
- Advanced English proficiency.
Company Benefits
Airbus is committed to employee well-being, offering competitive compensation, comprehensive healthcare, and diverse opportunities for professional growth and development. Benefits and perks are tailored to global locations.
Selection Process
The selection process includes application review by a recruiter, a deferred video interview, and final interviews with the hiring manager and/or tutor.
Additional Information
This apprenticeship begins in September/October 2026 and lasts for 1 year. Security clearance may be required. Please prepare your RNCP code, program duration, and contract type (apprenticeship or professionalization) for your application.
Key Skills/Competency
- Artificial Intelligence
- Machine Learning
- Uncertainty Quantification
- Scientific Machine Learning
- Python
- Probability
- Statistics
- Deep Neural Networks
- Bayesian Learning
- Git
How to Get Hired at Airbus Aircraft
- Tailor your resume: Highlight your Master 1 level studies in AI/Applied Math, Python, Git, and your strong probability/statistics background.
- Showcase technical skills: Emphasize your understanding of Machine Learning, Deep Neural Networks, and any Bayesian Learning experience.
- Prepare for video interview: Practice articulating your technical knowledge and problem-solving approach clearly and concisely.
- Demonstrate soft skills: Be ready to discuss your team spirit, analytical mindset, and ability to work in multicultural settings during manager interviews.
- Understand the role: Clearly state your RNCP code, program duration, and contract type for a smooth application.
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