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complex dynamic system. Minor disruptions can lead to major delays with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project, part of the REACT MSCA Doctoral
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description Railway embankments form the foundation of the railway system and play a critical role in ensuring the safety, reliability, and resilience of rail transport. As these assets age and are exposed
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description Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety, reliability, and operational performance. As railway infrastructure ages and
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, reliability, and resilience of rail transport. As these assets age and are exposed to increasing traffic loads and environmental effects, efficient methods for monitoring their condition become essential
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, reliability, and operational performance. As railway infrastructure ages and traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict
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are poorly understood and not accounted for in current-generation hydrological models. The PhD research project will address these issues for more reliable hydrological predictions with a focus on the