The research investigates the realisation of a Cognitive Digital Twin for the monitoring of critical infrastructure at sea (offshore wind farms, energy islands, subsea cables and pipelines). The central question is how such a twin can truly understand its environment, both on the data level (what is being observed and what it means) and on the processing level (how observations are collected, analysed and turned into insight).
To tackle this, the research blends ideas from knowledge graphs, stream processing, database theory, logic, edge and cloud computing, and Artificial Intelligence into a single coherent framework that truly understands its environment.
What you do
- Conduct research within a Stream Intelligence Lab.
- Contribute to the education of students by supporting lectures and lab sessions.
- Work independently and collaborate well in a team.
- Present research findings.
Profile
- Master's degree in Computer Science, Artificial Intelligence or similar.
- Interested in Logic, Machine Learning, Knowledge Graphs, Stream Processing, Database Theory, Edge processing and efficient implementation of algorithms.
- Interested in both theoretical investigation and practical implementation of prototypes.
- Interested in cutting-edge research, initiative, and enjoy presenting about the research that interests you.
- Fluent in English, both spoken and written.
Practical
- You will receive a PhD scholarship.
- The research activities will be based at an academic campus.
How to apply
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