Probabilistic and Temporal Extension of a Graph-based Modelling and Analysis Approach for Network Infrastructures

Electrical grids and ICT systems are network infrastructures that can be modelled as graphs. The integration of electrical, ICT and other energy carrier networks form a system of systems, that can be modelled as a set of interdependent graphs and analysed to identify critical or vulnerable components and propagation of disturbances throughout the system of systems. Existing graph-based modelling approaches however are prone to oversimplification, neglecting domain-specific aspects, uncertainties and the probabilistic and temporal effects of disturbances in a system of systems.

To address this gap, an existing modelling and analysis tool is to be extended. The integration of uncertainties and probabilistic and temporal effects is to be conceptualized with the help of a suitable example case, implemented as an extension to the existing tool and evaluated based on the example case, covering and extension of the modelling and the analysis workflow and functionality. A suitable visual representation of the analysis is to be developed and implemented to prepare information in a comprehensible way.

• Programming experience, specifically Python.
• Knowledge of power systems and automation systems is helpful.
• You are currently enrolled at a university as a student of computer science, electrical engineering or similar.
• Strong work ethic, as well as team and communication skills.
• Ability to work independently and with great attention to detail.
• Good command of English (written and spoken).

• We foster a culture of innovation, collaboration and mutual respect, where everyone’s contributions are valued – from student assistants to institute management.
• Work on exciting projects that help you develop your skills and prepare for the challenges of tomorrow.

Applicants with severe disabilities will be given preference where qualifications are equal. The Fraunhofer-Gesellschaft is committed to equal opportunities and professional equality, regardless of gender.