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Airbus • München, Germany

Master Thesis (d/f/m) on 5G/6G Non-Terrestrial Networks Positioning

Employment type:  Internship
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Job Description

Job Description:

In order to support the Future Navigation Programs department, Airbus Defence and Space is looking for a


Master Thesis (d/f/m) on 5G/6G Non-Terrestrial Networks Positioning


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
as a masters student (d/f/m)!

  • Location: Ottobrunn
  • Start: as soon as possible
  • Duration: 6 months

You will join the department on Future Navigation Programs at Airbus Defence and Space. The department is pioneering navigation systems and technologies to enable accurate, reliable and resilient Positioning, Navigation and Timing (PNT).
You will acquire an in-depth insight into PNT concepts and solutions within 5G/6G non-terrestrial networks (NTN), in order to exploit first-of-a-kind navigation demonstrators for the exploration of prototype NTN positioning solutions from concept to experimentation.

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.
  • 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

  • Research on navigation concepts and algorithms 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.

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/or navigation, and a basic knowledge of 5G networks.
  • You are familiar with software-defined radio and have experience with signal processing of field recordings.
  • 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!

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

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.

Company benefits

Accrued annual leave
Adoption leave
Annual bonus
Bike parking
Coaching
Complimentary Medical Services
Cycle to work scheme
Employee discounts
Enhanced maternity leave
Enhanced paternity leave
Enhanced sick pay
Family health insurance
Health insurance
In house training
Language lessons
Mentoring
On-site gym
Open to compressed hours
Open to job sharing
Open to part time work for some roles
Open to part-time employees
Referral bonus
Sabbaticals
Teambuilding days
Mental health support
Mental health platform access
Mental health first aiders

Working at Airbus

Company employees:

165000

Gender diversity (m:f):

70:30

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