Applications are invited for a Postdoctoral Research Associate in Bayesian Chronostratigraphy, with a particular emphasis on the development and implementation of statistical approaches to correlation on geological time scales. This research project will develop new quantitative tools to infer evolutionary processes from the geological record, with a particular focus on the origin of complex animal ecosystems in the “Cambrian explosion”. The successful applicant will take forwards the progress of the first 18 months of the project, developing, implementing and testing an objective Bayesian model for chronostratigraphic correlation that will be applied to geological and palaeontological datasets. A coherent statistical technique for synthesizing all available data will generate precise stratigraphic correlations between independent geological sections, allowing simultaneous analysis of geochemical, ichnological, biostratigraphic and sequence stratigraphic information, and the integration of absolute radiometric age estimates. A Bayesian approach will allow uncertainties to propagate between data types, giving accurate age estimates with well-constrained error margins.
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