Job Description:

In order to support our Data Processing team, Airbus Defence and Space is looking for an

Intern in Payload Data Processing for space-borne Instruments (d/f/m)

Are you looking for an internship and want to get to know the work of a Data Processing Engineer (d/f/m) ?  Then apply now! We look forward to you supporting us in the Data Processing team as an intern (d/f/m)! 

• Location: Friedrichshafen

• Start: march 2026

• Duration: 3-6 months

In strong collaboration with the instrument engineering teams, the department develops the on-ground processing of scientific instrument measurement data.

This internship deals with remote sensing data processing and software development (mixed scientific and engineering task) for Earth Observation missions. As an intern (d/f/m) you will learn about engineering in a cross-disciplinary and international team, Earth observation from space and space science methods, software development in a mixed science and industry context, professional software development (algorithm development and test, code hygiene, performance optimization, testing tool-chain, build chains).

Your location

At the Airbus site in Friedrichshafen you will be working on innovation where others spend their holidays. Enjoy panoramic views of Lake Constance while having lunch in our canteen. And after work, join one of our many corporate sports groups to go running, sailing or skiing.

Your benefits

• Attractive salary and work-life balance with a 35-hour week (flexitime).

• A final thesis is possible after consultation with the department.

• International environment with the opportunity to network globally.

• Work with modern/diversified technologies.

• At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.

• Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities

• Understanding the Measurement Concept of the Earth Observation payload and its data processing concept.

• Design, prototyping and analysis of algorithms for the geometric, radiometric and spectral processing of remote sensing data from space born instruments (imager, radar, sounder).

• Ability to identify the activities of the development life cycle that are necessary to develop a system/product and provide the level of confidence which is consistent with regulation and program requirements.

 

 Desired skills and qualifications

• Enrolled full-time student (d/f/m) within aerospace or numerical engineering, natural sciences, physics, mathematics, software engineering or similar field of study.

• Basic experience in Matlab or Python.

• Experience in the domain of Numerical Analysis/Computational Physics is an asset.

• Experience in version control systems (e.g. git) and collaborative workflow is an asset.

• German or English: fluent.

 

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate. 

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply online now!

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 GmbH

Employment Type:

Internship

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Experience Level:

Student

Job Family:

Support to Management <JF-FA-ES>

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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.