Master Thesis: “Functional analysis and integration of a XCP client stack in an FMU” (m/w/d) in Graz bei Virtual Vehicle Research GmbH
Master- / Diplomarbeit bei Virtual Vehicle Research GmbH

Master Thesis: “Functional analysis and integration of a XCP client stack in an FMU” (m/w/d)

Virtual Vehicle Research GmbH, Graz

Virtual Vehicle is a leading international R&D center for the automotive and rail industries. The center focuses on advanced virtualization of vehicle development. This linking of numerical simulations and hardware testing leads to a powerful HW-SW system design.

Simulation as a method of early validation of software functions and so-called virtual ECUs is becoming increasingly important. Two standards, one from the world of simulation and one from the ECU calibration/measurement are to be investigated and brought together.

To do this, we want you to create a concept for the integration and implement it as a proof of concept. Furthermore, we would like you to address the problems and limitations.


  • Understand the XCP (eXtended Calibration Protocol or Universal Measurement and Calibration Protocol)
  • Understand the FMI Standard (Functional Mockup
  • Interface) and FMU (Functional Mockup Unit)
  • Develop a concept for the integration of a XCP client stack into an FMU with support for different communication protocols e.g. Ethernet, CAN, …
  • Proof of concept implementation
  • Documentation


  • Ongoing technical studies (Technical Mathematics, Computer Science, Electrical Engineering or similar)
  • Knowledge in C/C++, Matlab/Simulink and Networking
  • Interest in Embedded Systems und Simulation topics


  • Collaboration in a dedicated, dynamic team
  • Work together and learn from experts of one of the leading automotive suppliers worldwide
  • Paid Master Thesis
  • Diverse sports and health activities regularly
  • Corporate Events

For technical questions, please contact
Mario Driussi


Master- / Diplomarbeit
as of now
after arrangement
Inffeldgasse 21A, 8010 Graz, Österreich
paid thesis
Virtual Vehicle Research GmbH
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