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Master Thesis / Internship within Resilient Magnetic Anomaly Navigation (d/f/m)

Airbus Defence and Space GmbH -
München

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MATLAB
Machine Learning
Python

Vollständige Stellenbeschreibung

Job Description:

In order to support the Central Research & Technology department, Airbus is looking for a

Master Thesis / Internship within Resilient Magnetic Anomaly Navigation (d/f/m)

Are you looking for a master thesis / internship and want to get to know the work of a researcher at Airbus? Then apply now! We look forward to you supporting us in the Central Research & Technology department, as a master student / intern (d/f/m)!

Location: Taufkirchen / Ottobrunn
Start: 01.08.2026
Duration: 6 months

We at Airbus Central Research & Technology pioneer cutting edge technologies for future airborne and spaceborne systems, providing novel functionalities whilst reducing the environmental footprint of Airbus products and services. You will join the team of our researchers working on alternative positioning and navigation using novel quantum magnetometers. With your contribution you will make an impact on the research on resilient future airborne navigation for Airbus.

Your location

Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.

Your benefits

Attractive salary and work-life balance with a 35-hour week (flexitime).
A final thesis is possible after consultation with the department.
Mobile working after agreement with the department.
Traveling overseas or within Germany (team events) is possible after consultation and agreement from 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

Exploring advanced estimation algorithms for magnetic anomaly navigation to optimize. positioning uncertainty using the geomagnetic anomaly field as a position reference.
Adapting, implementing and testing suitable algorithms in a navigation simulation.

Desired skills and qualifications

Enrolled full time student (d/f/m) within electrical engineering, robotics, aerospace engineering, computer science, physics or a related field.
Good mathematical skills in probability theory and non-linear dynamics.
Experience in Matlab or Python programming.
Previous experience in machine learning, state estimation, sensor fusion and/or navigation are a plus.
Fluent in English or German.

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:

Final-year Thesis

Experience Level:

Student

Job Family:

Elec.Electron.&Electromag,Optics&Optron. <JF-EN-ED>

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.

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