#Discover II 2026-2027 / AI models Internship

Posted 17 Days Ago
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Area, Viveiro, Lugo, Galicia, ESP
In-Office
Internship
Aerospace
The Role
This internship at Airbus involves conducting research on AI tools, developing predictive models for maritime anomaly detection, and applying explainable AI techniques while gaining hands-on experience in advanced AI technologies.
Summary Generated by Built In

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:

1. Tasks to be carried out by the student

  • State-of-the-art research: Conduct periodic analysis and benchmarking of emerging AI tools and libraries relevant to mission planning.
  • Predictive modeling: Design and develop AI models for the identification and classification of anomalous maritime behaviors and threats.
  • xAI implementation: Apply Explainable AI (xAI) techniques to provide transparency to black-box predictive models.
  • Synthetic data generation: Research and implement algorithms to generate synthetic datasets for training and validating AI models.
  • Software integration: Integrate developed AI solutions into existing mission system software architectures.
  • Technical documentation: Design and implementation.

2. Knowledge to be acquired by the student

  • Mission Systems Domain: Deep understanding of the functional and technical environment of Airbus Mission Planners.
  • Advanced AI Architectures: Practical experience in applying Deep Learning and Reinforcement Learning to real-world defense scenarios.
  • Anomaly Detection: Specialized knowledge in identifying patterns and outliers in maritime data.
  • Explainable AI (xAI): Mastery of techniques to interpret and validate complex AI models.
  • Industrial Software Engineering: Learning professional standards for integrating research-based solutions into production-ready software.

3. Within which projects or areas the internship will be carried out

  • The internship will be hosted within the Mission Systems department at Airbus, specifically integrated into the Mission Planner Development team. The student will contribute to R&D initiatives focused on enhancing the decision-making capabilities of maritime surveillance and mission management systems through next-generation technologies.

4. Specify the tools to be used

  • Programming & Frameworks: Python, Keras, TensorFlow, PyTorch, and Scikit-learn.
  • AI Techniques: Supervised/Unsupervised learning, Anomaly detection algorithms, and Synthetic data generators.
  • Development Environment: Software engineering tools for version control (Git) and integration within mission system architectures.
  • Methodology: Black-box modeling and xAI (Explainable AI) frameworks.
     

Required skills #AirbusDiversity:

As a successful candidate, you will be able to demonstrate the following skills and experience:
- Degree in Software Engineering or Computer Science
- Level B2 English.
- General knowledge in Machine Learning and AI Engineering.
- Skills valued: Calculus and Linear Algebra.
- 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 [email protected]

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 SAU

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 [email protected].

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.

Skills Required

  • Degree in Software Engineering or Computer Science
  • Level B2 English
  • General knowledge in Machine Learning and AI Engineering
  • Skills in Calculus and Linear Algebra
  • Analytical and problem-solving skills
  • Team spirit and collaboration skills
  • Ability to work in complex international environments

Airbus Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
  • Retirement Support Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
  • Leave & Time Off Breadth Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.

Airbus Insights

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The Company
HQ: Herndon, VA
52,655 Employees
Year Founded: 2014

What We Do

Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.

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