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multiple software packages, including PRIDE PPP-AR, GAMIT/GLOBK, and GipsyX Process raw GNSS data, analyze position time series, and estimate station velocities and associated uncertainties Compile and
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We are looking to recruit a postdoctoral researcher to join the growing Lab for Lab for Uncertainty in Data and Decision Making (LUCID) in the School of Computer Science. Applicants should have a
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on a project in the area of power system risk modeling and assessment. Key Responsibilities: Develop a probabilistic security assessment framework for heterogeneous operational uncertainties and
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centuries how firms identified, distributed and managed risk under conditions of uncertainty. It does so through four British global firms: the Merchants of the Staple, the English East India Company, Jardine
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for Bayesian inference, inverse problems, uncertainty quantification, and scientific machine learning, with applications in environmental, scientific, and industrial imaging. The role/Te mahi We invite
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generation and Grid Foundation Models (GridFM). The goal is to accelerate nodal hosting-capacity assessment while preserving AC power-flow consistency and explicitly accounting for uncertainty.; ; The main
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, race, gender, religion, marital status and family responsibilities, or disability. Key Responsibilities: The candidate will study theoretically forward and inverse uncertainty quantification problems
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: • Develop and benchmark multimodal AI / foundation-model approaches for spatiotemporal forecasting. • Build reproducible AI training and evaluation pipelines, as well as uncertainty quantification
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evaluation protocols. Evaluate model calibration and uncertainty and characterize failure modes against taxonomic distance, annotation quality, and data sparsity. Deploy validated models and adapters as
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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why