Lunar PVT Navigation Algorithms Intern

European Space Agency

Noordwijk

On-site

EUR 11,000 - 13,000

Part time

9 days ago

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Job summary

ES A in Noordwijk, Netherlands invites a student intern to join the Systems Department within the Navigation Systems Implementation and Validation Section. You will contribute to developing PVT algorithms for lunar navigation using data from a single Moonlight satellite, supporting the early deployment phase of the LCNS constellation.

The role requires strong MATLAB or Python skills, coursework in GNSS concepts, and the ability to work in a team with researchers and engineers.

Qualifications

  • Must be a university student, preferably in final or second-to-last year of a Master's degree.
  • Knowledge of Earth GNSS concepts and satellite navigation.
  • Strong programming skills in MATLAB or Python.
  • Excellent academic record and ability to work in a team.

Responsibilities

  • conduct research and develop innovative algorithm(s) for PVT estimation in the lunar environment using measurements from a single Moonlight satellite;
  • develop, implement and validate the PVT algorithms through simulation and performance assessment activities;
  • perform sensitivity analyses to assess the impact of key error sources such as ODTS and receiver clock errors;
  • investigate and analyse additional information sources like DEMs and signals from the ESA Pathfinder satellite to enhance navigation performance;
  • evaluate algorithm performance under different lunar operational scenarios including initial deployment with a single satellite

Skills

MATLAB
Python

Education

Master's student (MSc) in a relevant field

Job description

ES A in Noordwijk, Netherlands invites a student intern to join the Systems Department within the Navigation Systems Implementation and Validation Section. You will contribute to developing PVT algorithms for lunar navigation using data from a single Moonlight satellite, supporting the early deployment phase of the LCNS constellation.

The role requires strong MATLAB or Python skills, coursework in GNSS concepts, and the ability to work in a team with researchers and engineers.

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