16 parallel-computing-numerical-methods-"Simons-Foundation" PhD positions at Loughborough University in United Kingdom
Sort by
Refine Your Search
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
sensing (e.g., PlanetScope, Sentinel-1), advanced numerical modelling (HEC-RAS, Delft-FM), and targeted field surveys to map mining intensity, simulate channel adjustment, and assess changing flood hazards
-
profound interest in inorganic chemistry, both in experimental and modelling applications. We are looking for candidates who are also interested in the analytical and numerical aspects of the work
-
projects. Integrating environmental, engineering, and social science methods, the interdisciplinary team of researchers that this PhD will augment have identified, evaluated, and are evolving marine litter
-
. This project will combine numerical simulations, field observations, and stakeholder engagement to address three core research questions: 1. How does sediment transport reduce the efficiency and resilience
-
flexibility to match your interests and skills across these methods. Working with the Environment Agency, Forestry England, and West Northamptonshire Council, this project will inform natural flood management
-
heat flux. Design, modify, and test novel heating surfaces that more accurately replicate industrial conditions. Develop advanced post-processing methods to extract key local quantities associated with
-
Loughborough serve as contrasting case studies, pairing a metropolitan centre with a smaller town to secure transferable findings. The project provides advanced training in spatial analysis, AI methods, and
-
would approach the project and what methods you would use. Under Campus, please select ‘Loughborough’ and select programme ‘Architecture, Building and Civil Engineering’. Please quote the advertised
-
This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture