Masterand (m/w/d) Data Modeling and Infrastructure for Digital Vehicle Twins in Data-Driven Development
Porsche AG

Masterand (m/w/d) Data Modeling and Infrastructure for Digital Vehicle Twins in Data-Driven Development

Porsche AG
  • Graduate Program / Job Rotation Program (From 19 to 24 months)
  • Stuttgart (Germany)
  • Published on August 30 2021

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.

  • Computer Science, (Electrical) Engineering, Business Information Systems, IT Systems Engineering, Physics, Data Science or similar
  • Proficiency with development tooling, e. g. Command Line Interfaces in general, git, CI/CD
  • SSH Proficiency with at least one programming language, e. g. Python, Go, C/C++, Java
  • Scala Experience with different database technologies, e. g. SQL, Time Series DBs, Wide Column Stores, Document Store
  • Data Lakes Experience with Big Data Processing Frameworks, e. g. Apache Spark,
  • Experience with scalable software development, e. g. with Docker, Kubernetes
  • Language: English, German is optional


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