#Discover II 2026-2027 INTERNSHIP "Machine Learning for Stress Analyses"

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Job Description:
Ready to join one of our Graduate Programs in Spain?
AIRBUS offer more than 70 vacancies for our full time graduate program in Spain - #Discover II 2026/2027 - Starting date 5th October 2026 until 1st October.
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 April 2026 until July 2026.
What does this internship consists in?
Together with Camilo José Cela University, Airbus has developed an exclusive program (Discover) designed for those interested in the best training in new areas of knowledge essential to be able to develop as professionals of the future.
You will have the opportunity to study a Master, organized in three training blocks, that will allow you to Discover the skills most in demand today. It will be combined with an 11 month internship at Airbus in an area related to your degree, where you can learn and complete your academic background.
The start of the internship will be in early October 2026, and will last 11 months (August disabled for all purposes). It is a full-time experience (40h/week), in which you will receive an attractive study grant.
Internship Job Description:
Development and validation of Machine Learning models to complement the use of legacy analytical stress tools (stiffened composite panels, curve panels, etc.) and/or extend material allowable database
The student will acquire knowledge related to Machine Learning, structural analysis, composite materials and optimization algorithms
The project is based on the use of Python, associated ML libraries, analytical tools for structural analysis, and the Finite Element Models (Nastran)
Required skills #AirbusDiversity
As a successful candidate, you will be able to demonstrate the following skills and experience:
Degree in Aerospace, Mechanical Engineering or equivalent
Level B2 English
General knowledge in structural analysis, composite materials and Machine Learning
Skills Valued:
Programming (Python)FEM (Nastran and/or Abaqus)
Analytical and problem-solving skills
Team spirit and great collaboration skills
Ability to work in complex and international environments
Why should you apply?
Foster your professional development with a strong academic background and an in-depth collaboration in 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 propel us to accomplish the extraordinary - on the ground, in the sky and in space.
For any inquiries concerning this selection process, please contact us at randstad-airbus@randstad.es
Are you interested? Apply and make it fly!
#Graduates_Spain
#DISCOVER
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.
Company:
Airbus Defence and Space SAUEmployment Type:
Internship-------
Experience Level:
StudentJob Family:
Support to Management <JF-FA-ES>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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 in the frame 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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