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on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact applications. The candidate is expected
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help connect the Digital Health Living Lab, pilot sites and the joint PPU–KU Leuven research programme. The PhD has a clear engineering focus: developing and evaluating human-centred interactive systems
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stability. Affinity with numerical simulation, algorithm development and scientific programming. Excellent communication skills in English. The following are considered assets: Knowledge of power electronics
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collaboration among partners.Research Conduct literature reviews. Support data collection and analysis. Develop and evaluate NLP algorithms and models. Relevant NLP tasks include: ASR, (local) LLMs, open-domain
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simulation methods and scientific software development. The successful candidate will contribute to research and development on: EMT simulation of future power systems. Simulation methods for converter
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developing generic tools that take a declarative problem description and automatically compute an optimal solution to it. Often, users specify their problem in a high-level, human-understandable formal
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for many domains: models for text (Large Language Models) and vision models are certainly the most popular at the moment. A more recent development is the emergence of foundational models for more
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decrease by two orders of magnitude, so that testing of control algorithms in a wind tunnel environment requires algorithms that are a significantly faster than they need to be in the field. Instead, wind
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-472 Is the Job related to staff position within a Research Infrastructure? No Offer Description The field of combinatorial optimization is concerned with developing generic tools that take a