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We have 8 Mathematical Modelling PhD Projects, Programmes & Scholarships in Glasgow
Mathematical Modelling PhD Projects, Programmes & Scholarships in Glasgow
We have 8 Mathematical Modelling PhD Projects, Programmes & Scholarships in Glasgow
Dynamic digital scheduling for optimal outfitting of naval ships
During the manufacture of a modern naval ship, one aim is to maximise the amount of equipment, pipework, etc. installed during the initial build process. Read more
Predicting dense granular flow dynamics in complex environments
Solid particles dispersed in a liquid phase at high concentrations (dense) are encountered ubiquitously in industry, found in products ranging from cement and ceramic pastes to slurries for battery and solar panel manufacturing and foods; and in nature, such as mud flows, submarine landslides. Read more
PhD in Mechanical Engineering - Social-Techno-Economic Analysis of Hydrogen Integration for the Energy Transition
The UK like many nations needs to radical reform its energy services as to support rapid decarbonization. The energy transition from decarbonization, net zero and towards sustainable solutions, must also be responsive to the needs of society, in terms of energy availability and affordability. Read more
A computational fluid dynamics (CFD) investigation of endovascular aortic arch stent graft designs in relation to post-operative thrombus formation
Industry co-funded EPSRC PhD Studentship. An exciting opportunity for a fully-funded 42-month PhD studentship co-funded by a world-leading medical devices company and EPSRC is available at the Department of Biomedical Engineering at the University of Strathclyde. Read more
Design and control of nanoparticle structuring and self-organisation
Nature forms many materials which possess intricate structures on length scales from nanometres to many microns, which are important in applications ranging from biological systems to porous materials for energy storage. Read more
The automated construction of thermodynamic models for complex mixtures
Process design requires accurate and reliable thermodynamic data for multicomponent mixtures in the system over a wide range conditions (e.g., solvents, impurity concentrations, temperatures, pressures) which are often missing, especially for new compounds. Read more
Dynamical Low-Rank Approximation for Uncertainty Quantification: Bridging Theory and Practice in Large-Scale Problems
High-dimensional problems are crucial in diverse scientific, engineering, and real-world applications. These problems appear in complex, large-scale scenarios. Read more
Multimodal remote sensing and Machine Learning for Precision Agriculture
With the world population expected to reach 8.5 billion by 2030 and 9.7 billion by 2050, the demand for food and agricultural products will rise significantly in the coming years. Read more
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