The thesis investigates the required data models and infrastructure for building digital vehicle twins. It shall answer the following questions:
1. How can a digital vehicle twin be structured appropriately and what are guiding structural criteria?
2. Which applications should it support in the realm of data-driven development?
3. How should the involved data be modeled, stored, processed, and consumed?
The first and second questions are to be answered through problem analysis and a qualitative empirical study, or by means of an other appropriate method. The third question is to be answered through a prototypical implementation using real-world data and mocked bordering system interfaces. Compute infrastructure is not at the core of the thesis but can be examined for understanding the overall system infrastructure. The thesis is meant to be "T-shaped" , i. e. it shall outline the broad scope of the matter as well as concretize abstract considerations by one select example. However, the above outline can of course be adapted to your preferences and skills.
“In the beginning, I looked around and could not find quite the car I dreamed of. So I decided to build it myself.”
This quote from Ferdinand Porsche sums up what Porsche is as a brand, as a company, as a car manufacturer and as an employer. The “Porsche idea” has produced unique sports cars, such as the Porsche 356 and the 911. With the combination of tradition, innovation and our employees` Porsche typical – sometimes unconventional – ways of thinking, we make automobile dreams come true and always have that “little bit more” in our sights. But Porsche is more than “just” an exclusive sports car producer. Because Porsche has a lot to offer as an employer as well: numerous entry and career opportunities, measures for combining work and family, and flexible working hours