1 month ago

AI and Uncertainty Quantification Apprentice

Airbus Aircraft

On Site
Full Time
€21,000
Paris, Île-de-France, France
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Job Overview

Job TitleAI and Uncertainty Quantification Apprentice
Job TypeFull Time
Offered Salary€21,000
LocationParis, Île-de-France, France
Map of Paris, Île-de-France, France

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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

Tags:

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

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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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