Researcher - Business Process Intelligence & Process Mining - Temporary Less 6 Month Fixed Salary

04 ott - Milano
SAP

We help the world run better
Prima di candidarsi per questo ruolo, la preghiamo di leggere le seguenti informazioni su questa possibilità, riportate di seguito.
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed
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What you will build
- -Research and develop novel approaches for Business Process Intelligence based on Virtual Knowledge Graphs and process mining.
- -Explore expressive process analysis techniques using Process Atoms and object-centric process data.
- -Investigate semantic and temporal reasoning approaches for analyzing enterprise business processes.
- -Evaluate next-generation process intelligence technologies on real-world SAP enterprise data.




- -Interact with relevant research, engineering, and product stakeholders.
- -Contribute to long-term product innovation in the realm of Business Process Intelligence, one of the most exciting topics in the current B2B software.
- -Contribute to product prototypes.
- -Contribute to or drive your own research papers, if desired.

What you bring
- -You are a PhD student or researcher in Computer Science, Data Science, Artificial Intelligence, Business Informatics, or another relevant field.
- -Good knowledge of programming languages, particularly Python.
- -Goodknowledge of databases, data management, and software engineering practices.
- -Goodknowledge of logic, knowledge representation, and reasoning.
- -Good knowledge of process mining, preferably object-centric process mining.
- -Interest in knowledge graphs, semantic technologies, and enterprise information systems.
- -Strong analytical and proble

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