Master thesis on Next-Gen Telecom Satellites with on-board 5G/6G gNodeB (NTN)

TN Germany; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading aerospace company is seeking a Master Student for a thesis in Next-Gen Telecom Satellites with on-board 5G/6G gNodeB in Munich. This role involves exploring satellite networks integration into future 6G communications, with a focus on FPGA-based processors and AI integration. Candidates should be enrolled in Telecommunications or Electrical Engineering and possess relevant skills in signal processing and embedded programming.

Qualifikationen

• Full-time enrolled student in Telecommunication or Electrical Engineering or similar.
• Knowledge of communication standards and signal processing.
• Embedded programming skills required.

Aufgaben

• Identifying on-chip resources for 5G PHY-Layer processing.
• Implementing functional blocks on the SoC.
• Benchmarking performance and power efficiency.

Kenntnisse

Knowledge of communication standards

Signal processing

Embedded programming skills

Experience with neural network inference

Interest in spacecraft and telecommunications trends

Fluent English

German or French

Ausbildung

Full-time enrolled student in Telecommunication or Electrical Engineering

Jobbeschreibung

Master thesis on Next-Gen Telecom Satellites with on-board 5G/6G gNodeB (NTN), Munich

Client:

Airbus

Location:

Ottobrunn, near Munich, Bavaria

Job Category:

Other

EU work permit required:

Yes

Job Reference:

f2c04a5eae21

Job Views:

1

Posted:

20.05.2025

Expiry Date:

04.07.2025

Job Description:

Airbus Defence and Space is seeking a Master Student in the field of Next-Gen Telecom Satellites with on-board 5G/6G gNodeB (NTN).

This thesis offers an opportunity to explore the integration of satellite networks into future 6G communications, focusing on deploying functional blocks of a gNodeB on FPGA-based Spacecraft processors, including benchmarking and AI integration.

Your responsibilities include:

• Identifying on-chip resources for 5G PHY-Layer processing
• Implementing functional blocks on the SoC
• Benchmarking performance and power efficiency
• Defining hardware/software interfaces
• Integrating AI functionalities into the processing system

Qualifications:

• Full-time enrolled student in Telecommunication or Electrical Engineering or similar
• Knowledge of communication standards and signal processing
• Embedded programming skills
• Experience with neural network inference on embedded platforms
• Interest in spacecraft and telecommunications trends
• Fluent English; German or French is a plus

Applicants should upload a cover letter, CV, transcripts, and enrollment certificate. Airbus supports personal growth and diversity, and encourages applications from all backgrounds.