Machine Learning for Stress Analyses Internship (Discover II 2026‑2027)

About the role

Join Airbus for an 11‑month, full‑time internship starting in early October 2026. You will work on developing and validating Machine Learning models that support legacy analytical stress tools for composite structures, while gaining hands‑on experience in aerospace engineering.

Key responsibilities

• Develop and validate ML models to complement analytical stress tools for stiffened and curved composite panels.
• Extend material allowable databases using data‑driven approaches.
• Utilise Python, associated ML libraries, and Finite Element Models (Nastran) for structural analysis.
• Collaborate with multidisciplinary teams to integrate ML solutions into existing workflows.

Required profile

• Degree in Aerospace, Mechanical Engineering or a related field.
• English proficiency at B2 level or higher.
• General knowledge of structural analysis, composite materials and Machine Learning.

Required skills

• Python programming.
• Finite Element software (Nastran and/or Abaqus).
• Machine Learning libraries (e.g., scikit‑learn, TensorFlow).

What we offer

• Attractive study grant for the duration of the internship.
• Professional development within a leading aerospace company.
• Opportunity to expand your network in the aeronautical industry.
• Inclusive, diverse, and collaborative work environment.