Summary: The Engineering and Physical Sciences Research Council Doctoral Landscape Award offers a unique opportunity for a PhD student to contribute to advancing statistical approaches in spatial modelling. This project focuses on improving the accuracy and uncertainty quantification of spatial data fusion, a vital area of research in environmental, epidemiological, and ecological studies. The student will develop and apply advanced statistical techniques to combine spatially misaligned data collected across varying resolutions and scales, thereby enhancing the reliability of spatial models used in diverse scientific disciplines.
Project Title: Statistical Approaches to Data Fusion in Spatial Modelling: Improving Accuracy and Uncertainty Quantification
Engineering and Physical Sciences Research Council Doctoral Landscape Award
Engineering and Physical Sciences Research Council Doctoral Landscape Award
Designation: PhD Candidate in Statistical Approaches to Data Fusion
Research Area:
This project will focus on spatial statistics, specifically integrating spatial data from varying resolutions, using Bayesian hierarchical models, and exploring advanced statistical techniques for data fusion. Applications include environmental statistics, epidemiology, and statistical ecology, with emphasis on improving predictions and understanding spatial problems without increasing uncertainty.
Location:
Laver Building, Streatham Campus, University of Exeter, UK
Eligibility/Qualification:
- A Master’s degree (MSc) in Statistics or Applied Statistics is required.
- The project is designed for individuals with a strong background in statistical theory and its application to spatial data.
Job Description:
- Develop statistical models to fuse spatially misaligned data from different sources and scales.
- Contribute to the advancement of Bayesian hierarchical models in spatial statistics.
- Collaborate with international organizations and experts in environmental statistics and statistical ecology.
- Gain experience in the application of advanced statistical methods to real-world spatial data problems.
- Contribute to publications and research outputs in high-impact academic journals.
How to Apply:
- Please read the entry requirements for the PhD in Mathematics programme at the University of Exeter.
- For project-specific inquiries, please contact Lead Supervisor Oscar Rodriguez de Rivera Ortega at o.m.rodriguezde-rivera-ortega@exeter.ac.uk.
- To apply, click here.
Last Date to Apply:
Until position filled
For more information about the project, visit the webpage.
