项目介绍
Project
The PhD 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.
Profile
- You have a master’s degree in Computer Science, Artificial Intelligence or similar.
- You are interested in Logic, Machine Learning, Knowledge Graphs, Stream Processing, Database Theory, Edge processing and efficient implementation of algorithms.
- You are interested in both theoretical investigation and practical implementation of prototypes.
- You can work independently and collaborate well in a team.
- You have an interest in cutting-edge research, initiative, and enjoy presenting about the research that interests you.
- You can fluently express yourself in English, both spoken and written.
Offer
You will receive a PhD scholarship to join our lab and pursue your doctoral studies. Initially, this full-time position is offered on a one-year contract, with the possibility of extension based on your performance and the acquisition of additional funding. The ultimate objective is to complete your PhD within a four-year timeframe.
The research will be based at campus Kulak in Kortrijk. Next to the research within your PhD, you will contribute to the education of our students by supporting lectures and lab sessions.
Interested?
For more information please contact Prof. dr. ir. Pieter Bonte, mail: pieter.bonte@kuleuven.be.You can apply for this job no later than October 30, 2026 via the online application tool
KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.
联系方式
电话: +32 16 324010相关项目推荐
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