Job Description
AIRBUS offer more than 70 vacancies for our full‐time graduate program in Spain.
#Discover I 2026 / 2027 – Starting date 2nd March 2026 until 26th February
We are looking for recent graduates from different disciplines interested in developing their professional career in the aeronautical sector. The current context demands different ways of looking, thinking and relating.
The selection process will be during October 2025 until February 2026.
Internship Opportunity
Develop a Machine Learning‐based surrogate model for crack‐growth prediction in aeronautical alloys.
Main objective: address current limitations in existing tools and explore new methodologies for more efficient and accurate analyses.
Project Phases and Key Tasks
Phase 1: Machine Learning Based Prediction of da/dN Curves
Goal: To develop a robust ML model for predicting da/dN curves, offering a more precise fitting than traditional methods.
Activities: literature review, data collection and preprocessing of experimental da/dN curves and selection and implementation of appropriate ML algorithms (Gaussian processes, SVM, random forests, ...) for curve fitting.
Phase 2: Surrogate Model for Static SIF Calculator
Goal: To create a surrogate model that can act as a static Stress Intensity Factor (SIF) calculator.
Activities: identification of input parameters, design of experiments, and development of ML models capable of predicting static SIFs; final validation of the surrogate model's accuracy against established SIF solutions.
Phase 3: Combining Models for Crack Growth Prediction with Retardation Effects
Goal: Development of an integrated workflow that uses the ML‐predicted da/dN curves and the SIF surrogate model for incremental crack growth calculation (if time permits).
Required Skills
Educated to degree level (or equivalent) in Aerospace Engineering
Ability to work in complex and international environments
Structural stress analysis, particularly in metallic fatigue and damage tolerance knowledge
Analytical and problem‐solving skills
Programming languages (C++, Fortran, Python)
Finite Element modelling techniques (Abaqus, Nastran, HyperMesh)
Negotiation level of English and Spanish
Why Should You Apply?
Foster your professional development with a strong academic background and an in‐depth collaboration on Airbus projects.
Expand your network within the aeronautical industry.
Meet our people working with passion and determination to make the world a more connected, safer and smarter place.
Be part of our diversity and teamwork culture that propels us to accomplish extraordinary achievements on the ground, in the sky and in space.
Company Details
Airbus Operations SL
Internship
Student
Support to Management
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.
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 as part of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@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.
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