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, theoretical models and data analysis. Responsibilities will also include assistance in the day-to-day maintenance of the experimental facilities, liaising with external collaborators, assisting in
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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temporal properties: ultrabroadband supercontinua, intense sub-cycle field transients, and few-femtosecond ultraviolet pulses, among many others. We combine numerical modelling with experiments to study the
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Physical Sciences at HWU. He is also Honorary fellow at the (UoE ) School of Informatics, and Academic Guest at the (EPFL ) Signal Processing Laboratories. The position is open in the context of a large
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to experimental design and procedure as part in a collaborative decision making process, while taking responsibility for implementing experiments, theoretical models and data analysis. Responsibilities will also