Applicants must have a minimum of a UK upper second class honours degree (2.1), or equivalent, in computer science or artificial intelligence. If English is not your first language, you must provide evidence that you meet the University’s minimum English Language requirements.
Months of entry
Fibrous materials are widespread in industry (tissue engineering scaffolds, non-woven fabrics, paper) and nature (cellular cytoskeleton). There is an unmet need to predict their mechanical properties in silico, to reduce the number of lengthy, costly experiments and accelerate the development of tailored materials. The student will design and implement parallel multi-level algorithms optimized for models of elastic fibre networks, achieving representative, and practical, volumes for the first time. Analysis and experiments will confirm the algorithms scale optimally on HPC architectures. Existing cross-campus contacts with application domains (Chemistry, Non-Wovens, Dentistry) will allow experimental collaborations and validation.
Keywords: Modelling, multi-level, parallel, fibre networks
Fees and funding
This scholarship is part of Leeds Anniversary Research Scholarship scheme.
Qualification and course duration
Course contact details
- Dr Mark Walkley