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Airbus
Airbus

Aerospace company.

#Discover II 2026-2027 INTERNSHIP Artificial Intelligence for Composite Structural Sizing Process at Airbus

RoleMachine Learning
LevelIntern
LocationGetafe Area
WorkOn-site
TypeInternship
Posted1 day ago
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About the role

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:

The design of aerospace structures is a complex and multidisciplinary process, integrating various fields of expertise such as mechanical engineering, materials, aerodynamics, and manufacturing systems. One of the fundamentals of this process is ensuring structural integrity under all operating conditions and possible scenarios.

In this context, structural analysis faces multiple sources of uncertainty, including geometric and dimensional tolerances, material properties, and loading conditions.

To overcome these limitations, the use of machine learning models is proposed to efficiently analyze and predict reserve factors (RF). The method will enable precise analyses with a reasonable computational cost, while consistently meeting the high safety standards required by the EASA (European Union Aviation Safety Agency) certification.

Required skills #Airbus Diversity
As a successful candidate, you will be able to demonstrate the following skills and experience:

  • Educated to degree level (or equivalent) in Aerospace Engineering

  • Structural composite stress analysis

  • Mathematical mindset

  • Analytical and problem-solving skills

  • Programming languages (C++/Fortran/Python)

  • Final Element modelling techniques (Abaqus, Nastran, Hypermesh)

  • Language Skills: Negotiation level of English, Spanish

  • Analytical and problem-solving skills.

  • Team spirit and great collaboration skills.

  • Ability to work in complex and international environments.

Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.

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 Operations SL:

Employment Type:

Internship

Experience Level:

Student

Job Family:

Support to Management:

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.

Required skills

Artificial intelligence

Machine learning

Structural analysis

Data analysis

Engineering research

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About Airbus

Airbus

Airbus

Public

Airbus SE is a European aerospace corporation. While the company's primary business is the design and manufacture of commercial aircraft, it also operates separate divisions for Defence and Space and Helicopters.

10,001+

Employees

Leiden

Headquarters

$89B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

3.2

Compensation

4.0

Culture

4.1

Career

3.5

Management

3.8

72%

Recommend to a friend

Pros

Learning opportunities and professional development

Supportive team and collaborative environment

Good compensation and benefits

Cons

High pressure and performance expectations

Long hours and overwhelming workload

Bureaucratic and rigid structure

Salary Ranges

43 data points

Junior/L3

L2

L6

L3

L4

L5

Junior/L3 · Data Science Engineer

1 reports

$114,826

total per year

Base

$88,327

Stock

-

Bonus

-

$114,826

$114,826

Interview experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

25%

Experience

Positive 25%

Neutral 75%

Negative 0%

Interview process

1

Application Review

2

HR Screen

3

Technical/Hiring Manager Interview

4

Panel Interview

5

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit