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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

6Open Positions

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Internship | LEO constellation PHY and MAC modelling

TNO
Found 3 weeks ago
Location
Den Haag, Netherlands
Duration (Months)
4 Months
Time
Full-time
Work Mode
Not disclosed
Salary
615 euro
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • orbital mechanics
  • wireless communication
  • PHY/MAC principles
  • 3GPP 6G-NTN specifications
  • EMANE
  • RF links
  • FSO
  • LaserCom ISLs
  • RF feeder links

Soft Skills

  • Strong analytical and mathematical background
  • Ability to interpret technical documentation

Job Description

The goal is to develop a simulation based representation of a Low Earth Orbit (LEO) communication satellite constellation with focus on the lower layers of the OSI model (Layer 1 – Physical, Layer 2 – Data Link). The primary goal is to model how LEO satellite motion and antenna configurations influence RF and optical link availability, link budgets, medium access behavior, and PHY/MAC level performance. Given the complexity, work will begin by studying the ongoing 6G NTN (Non ‑Terrestrial Networks) developments within 3GPP and use these specifications as the foundation for the model. TNO experts —who are actively involved in both 3GPP and ETSI satellite communication working groups —will provide the technical guidance that underpins this effort. models. This work will enable realistic testing of LEO communication architectures and contributes to the TNO’s research on satellite based networking systems.

Requirements

  • Python programming proficiency.
  • Basic understanding of orbital mechanics (detailed models provided).
  • Fundamental wireless communication knowledge (PHY/MAC principles).
  • Strong analytical and mathematical background.
  • Ability to interpret technical documentation.

Related Field

  • Software Engineering

Related Subfield

  • Low Level System Software

Languages

  • English

Nice to Haves

  • Experience with data visualization.
  • Familiarity with Git.
  • Exposure to wireless simulation/emulation tools.
▶Apply Now

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