Motivated by the IPL ModeliScale initiative and part of the Glose project funded by Safran, the objective of this postdoctoral position is to investigate compile-time and run-time techniques for the distributed simulation of large cyber-physical systems. This includes Structural Analysis algorithms for partitioning large Modelica models into networks of FMI components that can be efficiently simulated on a distributed computing architecture, but also novel numerical schemes such as Quantized State Systems (QSS) methods and code-generation techniques for these methods.
|Modeling & Simulation||Modelica, FMI standard, Python, Matlab.|
|DevOps||Gitlab, Make, Docker.|
|Documentation||MS Office, Markdown, Latex, Jupyter.|