Master Thesis on Characterization of Sequence Robustness for Secure NTN Communications (d/f/m)

Beschreibung:

Job Description:
In order to support the Digital Payload Processors Design Team, Airbus Defence and Space is offering the following

Master Thesis on Characterization of Sequence Robustness for Secure NTN Communications (d/f/m)

You are looking for a master thesis and want to get to know the work of a signal processing engineer for space systems? Then apply now! We look forward to you supporting us in the department Telecom & Navigation Processing as a Master student (d/f/m)!

* Location: Taufkirchen / Ottobrunn, near Munich
* Start: 01.10.2026
* Duration: 6 months

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 an 35-hour week (flexitime).
* Mobile working after agreement 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, Scope of Master's Thesis

6G / 5G is giving the convergence of terrestrial and satellite-based networks a major boost. Under the keyword "Non-Terrestrial Networks (NTN)", satellites are being consistently integrated into the mobile communications standard for the first time, subsequently paving the way for a global and dense communication network in the future 6G generation.
Due to the inherent conditions of wireless communication - and particularly with the deployment of open standards and vast coverage areas - the threat posed by jammers and spoofers is ubiquitous. Specifically at the physical layer, the detection and suppression of malicious signals constitute an enormous challenge that must be overcome to ensure the integrity of the network.
The Master's Thesis position will support the ongoing R&D activities on on-board implementation and scaling of a jamming robust gNodeB. The successful candidate shall contribute to one or more of the following fields:
* Sequence Analysis: Investigating the mathematical and statistical properties of different sequence designs in the context of NTN-specific channel conditions.
* Attack Modeling: Developing simulation models for various pilot-spoofing and jamming scenarios to evaluate their impact on signal integrity.
* Robustness Characterization: Analyzing how different sequence properties react to malicious interference through various performance metrics.
* Feature Identification: Identifying unique "signal signatures" or features that can be used to distinguish between legitimate and spoofed signals.
* Benchmark Development: Providing a comparative evaluation of sequence-based robustness to support the development of on-board detection algorithms.

Desired skills and qualifications

* Enrolled as a full-time student in Telecommunication Engineering, Electrical Engineering, Computer Science, or a related field
* Strong foundation in Digital Signal Processing (DSP) and Communication Theory
* Proficiency in scripting and simulation using MATLAB or Python
* Basic understanding of OFDM waveforms
* Familiarity with communication standards (e.g., 3GPP, 6G/5G, or CCSDS) is a plus
* Excellent written and spoken English for technical documentation and communication; German is a plus.

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

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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
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Experience Level:Student

Job Family:Support to Management

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