The optimal design of membrane-based filters to remove harmful particles from water typically relies on time-consuming and expensive experimental work. In this project, you will develop mathematical and numerical methods to create digital twins of filters that allow for the rapid changing of design parameters such as membrane permeability and fluid density to optimize new designs without having to manufacture physical prototypes, thus reducing the time and cost of experimental testing. High computational efficiency and accuracy will be achieved by combining model order reduction methods (namely, proper generalized decomposition) and domain decomposition techniques.
Loughborough University adheres to the principles of the Athena SWAN Charter, the Race Equality Charter, and it has been named a Stonewall Diversity Champion. Find out more:https://www.lboro.ac.uk/schools/science/equity-diversity-inclusivity/ .
Loughborough University’s School of Science has outstanding facilities, a vibrant research culture with an international reputation, and a diverse community of staff and students from around the world – the ideal place to progress your research career. Find out more: https://www.lboro.ac.uk/schools/science/
Loughborough University has an applied research culture. In REF 2021, 94% of the work submitted was judged to be top-rated as world-leading or internationally excellent. We are a community based on mutual support and collaboration. Through our Doctoral College there are continual opportunities for building important research skills and networks among your peers and research academics.
Funding Details
The studentship is for three years full-time or six years part-time and provides a tax-free stipend of £17,668 per annum (pro rata for part-time) for the duration of the studentship plus tuition fees at the UK or international rate. Please note that the studentship will be awarded on a competitive basis to applicants who have applied to this project. Funding decisions will not be confirmed until August 2023.
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