University of Bath
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PhD in GPU-Accelerated Catchment-Scale Water Management and Digital Twin Modelling University of Bath in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
A PhD opportunity is advertised; funding details are not stated in the post text provided.
Country
United Kingdom
University
University of Bath

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About this position
CWBE Centre of Excellence in Water-Based Early-Warning Systems for Health Protection is advertising a PhD opportunity at the University of Bath focused on GPU-accelerated modelling of catchment-scale water management.
The project will explore how neural physics, GPU computing, and AI can be combined to build a next-generation digital twin of the Cam & Wellow catchment, the location of CWBE living labs. The research aims to simulate water flow and pollutant transport faster than traditional approaches while still respecting physical laws.
This opportunity is especially relevant for students interested in Environmental Science, Computer Science, Physics, Earth Science, Mathematics, Machine Learning, Hydrology, and digital twin modelling. The post does not provide detailed funding, eligibility, or deadline information in the text shown, so applicants should check the linked FindAPhD page for the full advert and application instructions.
Apply via the FindAPhD listing linked in the post.
Funding details
A PhD opportunity is advertised; funding details are not stated in the post text provided.
What's required
Applicants should be interested in environmental modelling, hydrology, neural physics, GPU computing, AI, and digital twin development. The post does not specify degree prerequisites, grades, or language requirements.
How to apply
Open the FindAPhD listing linked in the post and follow the application instructions there. Review the project details for eligibility and submission requirements before applying.
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