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We have 34 Computer Science (environmental modelling) PhD Projects, Programmes & Scholarships

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Computer Science (environmental modelling) PhD Projects, Programmes & Scholarships

We have 34 Computer Science (environmental modelling) PhD Projects, Programmes & Scholarships

Last chance to apply

Numerical modelling of multiphase flow and reactive transport in porous materials

Understanding reactive transport in porous materials is of utmost importance for a wide range of engineering applications, including subsurface energy storage, low-carbon building materials and fuel cells. Read more
Last chance to apply

Exploring Artificial Intelligence to Develop the Analysis of Acoustic and Archival Telemetry Data: Unveiling Insights into Shark Movement

 . *Please note that the closing date for this project has been brought forward* . The novel integration of artificial intelligence (AI) in analysing telemetry data represents a paradigm shift, offering unprecedented insights into fish behaviour and responses to environmental changes. Read more

4-year PhD Studentship: Multiscale comparative analysis of habitat selection by large carnivores in northern Botswana

About 38% of Botswana’s land area is reserved for wildlife conservation (Winterbach et al., 2014), providing important habitat for large carnivores and allowing for the study of intact large carnivore guilds. Read more

Multi Risk and Resilience

Self funded 3 year PhD, October 2024 start. This interdisciplinary project aims to enhance infrastructure resilience and sustainability using advanced numerical modelling combined with machine learning. Read more

An optimal framework for disease risk prediction and stratification for multi-ethnic populations (ref: SF22/HLS/APP/Chimusa)

The exceptional polygenicity of human traits makes unravelling mechanisms from disease risk prediction models daunting. The development of polygenic risk scores (PRS) methods, their evaluation and clinical utility have been explored almost in European ancestry Genome-Wide Association Studies (GWAS) data sets. Read more

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