Internship in Payload Data Processing for space-borne Instruments

Immenstaad am Bodensee

Actively hiring, first seen by us 2 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Internship · Full-time — employment source
Employment Type: Internship------- Experience Level:
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates: For current studentsJob title: Internship (d/f/m) in Payload Data Processing for space-borne Instruments

What you’ll work on

Full posting

Design, prototype and analyze geometric processing algorithms for remote sensing data
Design and analyze radiometric and spectral processing for space-borne instruments
Implement software development lifecycle activities to meet regulatory and program requirements
Learn the measurement concept of Earth Observation payloads and their processing workflows

From the employer’s posting

Geometric processing of remote sensing data.

Radiometric and spectral processing for space-borne instruments (e.g., imagers, radars, sounders).

Identify and implement development lifecycle activities to ensure the system meets regulatory and program requirements.

Understand the measurement concept of Earth Observation payloads and their data processing workflows.

What you’ll bring

All qualifications

Core experience

Enrolled full-time student in aerospace, engineering, natural sciences, physics, mathematics, software engineering or…
Basic experience with a high-level programming language such as Python
Fluent in English or German

Preferred experience

Experience in numerical analysis or computational physics
Familiarity with version control systems such as Git

Qualification wording

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 with a high-level programming language like Python.

Fluent in English or German.

Experience in numerical analysis or computational physics is advantageous.

Familiarity with version control systems (e.g., Git) is a plus.

Benefits in the posting

Full benefits wording

Your tasks and responsibilities
Desired skills and qualifications
Company:
Airbus Defence and Space GmbH
Employment Type:
Internship-------
Experience Level:
Student
Job Family:
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.
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.

From the employer’s posting.

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Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20262 days ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Where the posting names them

- 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 with a high-level programming language like Python. - Experience in numerical analysis or computational physics is advantageous.

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About the role

We file this job under Data Operations, by the work the posting describes.

Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.

Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.

Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.

Job description

View original posting ↗

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)

Location: Friedrichshafen
Start: March 2027
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 focuses on remote sensing data processing and software development, combining scientific and engineering tasks for Earth Observation missions. As an intern (d/f/m), you will

Gain experience in engineering within a cross-disciplinary and international team.
Learn about Earth observation from space and space science methods.
Develop software in a mixed science and industry context, including: Algorithm development and testing. Code hygiene and performance optimization. Testing and build chains.

Your location

At the Airbus site in Friedrichshafen, you’ll work on innovation while enjoying the benefits of a scenic location. Relax with panoramic views of Lake Constance during lunch in our canteen. After work, join our corporate sports groups for activities like running, sailing, or skiing.

Your benefits

Attractive salary and a 35-hour workweek with flexitime for a balanced work-life integration.
International environment with opportunities to network globally.
Work with modern and diverse technologies.
Active participation in team meetings—you’re a valued member, not just an assistant.
Opportunity to join the Generation Airbus Community to expand your professional network.

Your tasks and responsibilities

Understand the measurement concept of Earth Observation payloads and their data processing workflows.
Design, prototype, and analyze algorithms for: Geometric processing of remote sensing data. Radiometric and spectral processing for space-borne instruments (e.g., imagers, radars, sounders).
Identify and implement development lifecycle activities to ensure the system meets regulatory 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 with a high-level programming language like Python.
Experience in numerical analysis or computational physics is advantageous.
Familiarity with version control systems (e.g., Git) is a plus.
Fluent in English or German.

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

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

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

#MYCYM

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

-------

Experience Level:

Student

Job 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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