ALT 2026 Apprenti(e) en Intelligence Artificielle et Quantification d'Incertitudes (h/f)
Airbus Aircraft · Paris, Île-de-France, France
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- On site
- Full-time
- €21,000 / year
- Paris, Île-de-France, France
Job highlights
- Apprenticeship in AI and Uncertainty Quantification.
- Integrate probabilistic methods into SciML models.
- Quantify prediction confidence and model robustness.
- Apply skills to aerodynamics, mechanics, electromagnetics.
- Gain international experience at Airbus.
About the role
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
Skills & topics
- AI Apprentice
- Artificial Intelligence
- Uncertainty Quantification
- Machine Learning
- Scientific Machine Learning
- Python
- Probability
- Statistics
- Deep Neural Networks
- Airbus Apprenticeship
- Engineering
- Research and Technology
- Student
- Internship
How to get hired
- 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.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the duration of the AI and Uncertainty Quantification Apprenticeship at Airbus?
- The apprenticeship at Airbus for AI and Uncertainty Quantification is for a duration of 1 year, starting in September/October 2026.
- What academic background is required for the Airbus AI Apprentice role?
- You need to be pursuing a Master 1 (BAC+4) level training in Artificial Intelligence and Applied Mathematics or an equivalent field to be eligible for this apprenticeship.
- What programming languages are essential for the AI Apprentice position at Airbus?
- Proficiency in Python programming and familiarity with Git for version control are essential technical skills required for this role.
- Is French language proficiency mandatory for the AI Apprentice role at Airbus?
- French language proficiency is optional for this AI Apprentice role, though intermediate/advanced knowledge is considered a plus. Advanced English is required.
- What is the selection process for the AI and Uncertainty Quantification Apprenticeship at Airbus?
- The selection process involves an initial application review by a recruiter, followed by a deferred video interview, and concluding with interviews with the hiring manager and/or tutor.
- Does this apprenticeship require any security clearance?
- Yes, this position may require security clearance or eligibility for clearance by recognized authorities.
- What are the main technical skills needed for the AI Apprentice role at Airbus?
- Key technical skills include a strong background in Probability and Statistics, solid understanding of Machine Learning algorithms (especially Deep Neural Networks), and proficiency in Python and Git. Bayesian Learning knowledge is a plus.
- What kind of problems will the AI Apprentice work on at Airbus?
- The apprentice will work on developing new methods to address complex engineering problems by integrating probabilistic methods into Scientific Machine Learning models, focusing on areas like aerodynamics, mechanics, and electromagnetics.