Andrei Shvarts
1 year ago
Environmental Science, Climate Change University of Glasgow, University of Edinburgh, Lancaster University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhDs
Deadline
Expired
Country
United Kingdom
University
University Name
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Keywords
Computer Science
Environmental Science
Remote Sensing
Glaciology
Climate Science
Computational Science
Geophysics
Earth Science
Digital Twin Technology
Earth Observation
Cryosphere Science
High Performance Computing
Climate Dynamics
Gpu Computing
Supercomputing
Finite Element Analysis
About this position
Funding details
Fully funded PhDs
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Exascale computing has the potential to transform how we tackle global environmental challenges by enabling the analysis of complex Earth system models. These models integrate atmospheric, hydrospheric, cryospheric, biospheric, and solid Earth processes while considering human influences such as economic and political decisions.
The ExaGEO DLA programme, supported by UKRI’s NERC: Natural Environment Research Council , trains PhD students in GPU-accelerated modelling and Earth observation data analysis. A collaboration between the University of Glasgow , the University of Edinburgh , and Lancaster University , ExaGEO focuses on addressing critical environmental issues through multidisciplinary research.
As climate change drives more extreme weather—stronger winds, severe precipitation, droughts, and rising temperatures—advanced predictive tools are essential. Researchers at the University of Glasgow are developing an Earth systems digital twin, leveraging exascale computing to simulate climate impacts at national and global scales.
Check out one of the proposed PhD projects focusing on a critical component of this broader effort - GPU-accelerated multiscale modelling for glacier sliding: https://lnkd.in/gx8d-eKB
This PhD project explores the glacier-bedrock interface, a key factor in predicting glacier sliding and its impact on freshwater availability, sea levels, and regional water resources. Using GPU-accelerated computing, you will develop high-resolution models that capture both microscale and macroscale interactions. The project employs MoFEM, an open-source finite element framework developed by MoFEM Community at the University of Glasgow , which is optimized for large-scale multiphysics problems and parallel computing. By integrating environmental and satellite data, you will calibrate and validate simulations to ensure real-world applicability. This research offers a unique opportunity to apply advanced computational techniques to pressing challenges in glaciology.
# PhD # PhDOpportunity # ExascaleComputing # ClimateChange # EnvironmentalScience # HPC # FiniteElementAnalysis # MoFEM # GPUComputing # EarthObservation # Glaciology # Cryosphere # ClimateResearch # DigitalTwin # Supercomputing