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We have 10 Statistics (environment and development) PhD Projects, Programmes & Scholarships

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Statistics (environment and development) PhD Projects, Programmes & Scholarships

We have 10 Statistics (environment and development) PhD Projects, Programmes & Scholarships

Parameterising wakes for oceanographic models

This Research Project is sponsored by the Centre for Environment Fisheries and Aquaculture Science (CEFAS) and is part of the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience’s Predicting Offshore Wind wake interactions for Energy and the enviRonment (POWER) Cluster. Read more

Faculty of Science, Masaryk University

Embark on an enriching academic journey with our esteemed doctoral degree programs in various scientific fields. Read more

Innovative decommissioning for offshore foundation systems

This project is offered as part of the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience. The CDT is a partnership between Hull, Durham, Loughborough and Sheffield universities, along with over 40 industry partners. Read more

Economic and environmental assessment of energy systems integration for increased utilisation and reduced curtailment of offshore wind farms

This Research Project is part of the EPSRC CDT in Offshore Wind Energy Resilience and Sustainability’s Energy Economics Cluster. The CDT is a partnership between Hull, Durham, Loughborough and Sheffield universities, along with over 40 industry partners. Read more

PhD study in the Department of Economics

We are seeking talented and enthusiastic students to join the PhD programme in Economics at the University of Sheffield from September 2023. Read more

Functional Data Analysis in Finance

In Functional data analysis (FDA), the variable of interest can be naturally viewed as a smooth curve or function, rather than scalars in univariate analysis or vectors in multivariate analysis. Read more

Quantifying Discretisation Error in Climate Models

A significant challenge in climate models is discretisation error. even on cutting-edge hardware it is impossible to use fine enough discretisations to resolve underlying physics, which can have a significant impact on modelling results. Read more
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