Your thesis in the team “MO360 Engineering AI & Data Management” contributes directly to the long-term vision of a business end of the Semantic Layer for MO/E as the foundation for AI Native Engineering and Agent2Agent orchestration. The goal is to design, prototype and evaluate a concept that links object-centric event data from Celonis with the version- and scenario-semantics from our software, enabling explainable, scenario-aware process intelligence in production planning. In simple words, extraction of some useful KPIs and steering concepts for management * Ongoing Master's studies in Computer Science, Information Systems, Data Science, Industrial Engineering with IT focus, or a comparable program * Solid foundation in software engineering, data modeling and database systems (relational and graph-based) * Programming experience in Python (data processing, PM4Py, RDFLib, ...
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