Universit?t BW M?nchen Institut f?r Raumfahrttechnik (ISTA)





    Diplomand/-in(Praktikant/-in) Software Engineering


    Global Navigation Satellite System (GNSS) signal simulator is a crucial tool for performance testing and designing of GPS, Galileo and other GNSS receivers. Its substance ranges from pure hardware over combinations to a pure software solution. The topic of the thesis is a software application running on a general PC, the institute?s own signal simulator SigSimSoft. The simulator is a Cpp based prototype. For full utilization in scientific activities, it structure needs to be redesigned and code rewritten according to proper software engineering practices to reach reusability, robustness and maintainability.

    The key steps will be the analysis of the existing code, redesign of the structure and implementation of the proposed changes. The work will be carried out in tight collaboration with other team members working on verification and new functionality.


    ? Studies of computer science or telecommunications.
    ? Very good knowledge of Cpp/C.
    ? Very good knowledge of software design and object oriented programming.
    ? Basic knowledge in physics of signals and electromagnetic waves.
    ? Basic knowledge of GNSS/GPS principles.
    ? Fluent English in speech and writing.
    ? Team and communication skills.
    ? Individual initiative.


    6 months




    85577 Neubiberg



Universit?t BW M?nchen Institut f?r Raumfahrttechnik (ISTA)
85577 Neubiberg

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The Institute of Space Technology and Space Applications (former Institute of Geodesy and Navigation) at the University of the Federal Armed Forces Munich was founded in 1983 and is responsible for teaching and research in the fields of Satellite Navigation, Innertial Navigation, Signal Processing, Satellite Methods and Geodesy.
The Institute has an average staff of about full-time employed 20 scientists from different disciplines: telecommunications, electronics, aeronautical engineering, computer science and geodesy, in order to come up with the optimal solution for each task on this complex multidisciplinary field.
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