Objective
This fellowship is concerned with building new statistical modelling and estimation procedures that are appropriate for Big Data challenges with high-dimensional dependent data. The new methods will be applied to large oceanographic spatiotemporal datasets leading to important application benefits in global climate modelling. The methodological contribution centres on building physically-motivated stochastic processes that capture multivariate dependence structure from complex high-dimensional data sets. Estimation procedures are then developed to capture heterogeneity in spatiotemporal data, while properly accounting for practical issues such as irregularly-sampled data in space and time. Such modelling and estimation procedures provide great interpretability and meaningful summaries from the complex data sets we observe. The societal benefits include improved global climate modelling and improved responses to environmental disasters such as oil spills.
These advances will be achieved through interdisciplinary collaboration, with the fellow working closely with world-leading experts in oceanographic data in the US during the outgoing phase, and then consolidating these developments at the UCL Department of Statistical Sciences in the return phase. The fellow will therefore gain experience in developing relevant new statistical methods for a pressing Big Data challenge, and will then return to Europe where this training will significantly develop the fellow’s ability to produce cutting-edge research at the frontier of statistics and numerous applications involving complex high-dimensional data.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2013-IOF
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
WC1E 6BT LONDON
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.