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, incomplete, inconsistent, or affected by uncertainties, limiting their use for asset knowledge, infrastructure maintenance, and urban risk management. In this context, the central research question of this PhD
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of the intense rainfall that causes these floods, forecasts still show significant uncertainties, even for very short forecast horizons (of less than 6 hours). This PhD project aims to study how these forecast
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simplification. Particular attention will be paid to uncertainty quantification and to the definition of criteria that assess the contribution of each simulation to the improvement of the prediction
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interferometry, etc.), (v) Predictive modelling of coupled phenomena (reactive transport, rock-water interactions, etc.), (vi) Uncertainty quantification (Monte Carlo, meta-modelling), and (vii) Risk analysis. The
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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properties of the fault zone, or processes driven by fluids and chemical reactions. The ultimate goal is to reduce uncertainty regarding the presence, geometry, and dynamics of hydrogen-generating zones, and
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
with uncertainty quantification. However, this type of approach has not yet been used on problems as complex as an industrial piece of equipment. This thesis will be devoted to the use and development
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for geophysical flow modelling, uncertainty quantification, and high-performance computing. Its work relies on both deterministic and statistical approaches. The objective of this PhD project is to develop a new
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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, cyclists, vehicles, etc.). In this case, the study will incorporate the AD system's trajectory planning module, which uses a perception system coupled with map-based localization [3]. Given the uncertainties