Join Airbus Defence and Space in Taufkirchen / Ottobrunn for a 6-month Master Thesis focusing on NTN Positioning Receivers. This full-time student role features a 35-hour work week with flexitime and involves researching next-generation 5G/6G non-terrestrial networks, developing signal processing algorithms, and conducting experiments using software-defined radio.
Requirements
Enrolled full-time student in Electrical Engineering, Telecommunication Engineering, Navigation, or similar.
Solid understanding of navigation receivers and basic knowledge of 5G NTN.
Experience with software-defined radio and signal processing for 5G physical-layer processing using Python and C++.
Fluent in English with strong communication and independent working skills.
No minimum years of professional experience are required.
Skills & Responsibilities
Python and C++: Develop advanced signal processing algorithms targeting real-time operations for NTN positioning.
Software-defined radio: Conduct experiments on existing 5G/6G NTN demonstrators and satellites using SDR.
Research: Investigate positioning receivers for next-generation 5G/6G non-terrestrial networks.
Teamwork: Collaborate effectively in an international environment and communicate findings clearly.
Potential transition routes: People from telecommunications or signal processing academic backgrounds may bring relevant programming and analytical skills, alongside meeting the mandatory engineering enrollment requirements.
Job description
Job Description:
In order to support the Future Navigation Programs department, Airbus Defence and Space is looking for a
Master student (d/f/m) in the field of NTN Positioning Receivers
You are looking for a Master Thesis and want to get to know the work of a job title? Then apply now! We look forward to you supporting us in the Future Navigation Programs department as a Master Thesis student (d/f/m)!
Location: Taufkirchen / Ottobrunn
Start: As soon as possible
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).
International environment with the opportunity to network globally.
Work with modern/diversified technologies.
Opportunity to participate in the Generation Airbus Community to expand your own network.
Your tasks and responsibilities
Research on positioning receivers for next-generation 5G/6G non-terrestrial networks (NTN).
Development of advanced signal processing algorithms for NTN positioning using Python and C++.
Experiments using software-defined radio (SDR) on existing 5G/6G NTN demonstrators and satellites.
Desired skills and qualifications
Enrolled full-time student (d/f/m) in Electrical Engineering, Telecommunication Engineering, Navigation or similar field of study.
You have a solid understanding of the principles of navigation receivers, a strong interest in signal processing and navigation, and a basic knowledge of 5G non-terrestrial networks (NTN).
You are familiar with software-defined radio and have experience with signal processing of field recordings for 5G physical-layer processing.
You are comfortable in programming languages for developing algorithms and techniques (Python/C++) targeting real-time operations.
You are fluent in English.
You are a good team player, have excellent communication skills, and are able to work independently.
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!
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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 -------
Experience Level: Student
Job Family: Support to Management
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