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-generation digital workflows — including methods for knowledge graph construction, advanced querying, and data quality assurance. Contribute to aligning the developed methods with emerging standards
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, energy, geoscience). Explore the combination of Generative AI, logic-based models, and systems engineering principles to support next-generation digital workflows — including methods for knowledge graph
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background in systems thinking, analysis and modelling Experience in teaching and supervision in higher education at least on MSc level Knowledge of graph theoretical approaches and graph signal processing
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description This project links together knowledge graphs with uncertainty quantification in situations where domain knowledge can be exploited. Each of these research areas is vibrant and important on its own
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for excellent scientists with background and experience in one or more of the following areas: graph algorithms, parameterized complexity, approximation algorithms, extremal combinatorics, structural graph theory
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Programming languages such as Python, C++, Julia or similar as well as excellent English-writing and -speaking skills Furthermore, experience within: Knowledge of Hydropower planning and hydrology Graph neural