PhD student in the field of Advanced Navigation Payloads

• Analysis and Improvement of Advanced Navigation Antenna incl Digital Processing
• Analysis of architectural concepts
• Definition for an efficient signal processing with particular need for low distortions and robustness to RF chain and Navigation Antenna performance variations
• Analysis and Improvement of advanced On-Board autonomous signal distortion equalisation techniques
• Representative modelling, in particular for non-linear, frequency dependent channel characteristics of high-power amplifiers
• Analysis of concepts and definition of improved equalisation technique for GNSS signals in digital enhanced payload / antenna
• Improve knowledge of specific performance topics of new G2 signals (e.g. understanding SiS performance for small bandwidth signal)
• Modelling of navigation signal generator, digital feed, equalisation, RF payload and navigation antenna
• Development of Matlab-based simulator
• Validation on hardware
• Implementation in Hardware, Software and FPGA and Validation
• Trade-offs for Space Implementation incl functional architecture with space-grade FPGAs
• Implementation in COTS hardware, FPGA and software
• Validation with on-ground demonstrator

• Masters’ Degree in the area of Electrical Engineering, Communication and Signal Processing, Mathematics, Physics or an equivalent field of study
• Fluent in English
• First practical experience in the field of Satellite Communication or Satellite Navigation is desirable
• Deep Knowledge of digital signal processing and RF channel modelling would be a key asset
• The skill to transform candidate signal processing and RF-chain models efficiently into clean Matlab scripts for sensitivity analysis is key
• Preferably good knowledge of GNSS signals
• Preferably hands-on with FPGA programming, ideally VHDL know-how

fluency in German would be a plus

• 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