Research Fellow in Computational Biotribology

Location: Leeds - Main Campus

Working time: 22.5 hours per week

Contract type: Fixed term (6 months, starting from 1^st August 2025 - To complete specific time limited work)

Do you have a background crossing the disciplines of computational mechanics and biomedical engineering? Do you have an interest in developing computational models to investigate the lubrication of natural joints? Do you want to contribute modelling outcomes for publication in biotribology? 

This is a short-term position to develop and study the underlying ultra-low friction mechanisms of natural joints. The coupling between poroelastic cartilage material properties and the lubricating film formed between contacting surfaces facilitates this phenomenon. This is important in understanding joint health and the adverse effects of degenerative musculoskeletal conditions. 

The role will use your skills in computational mechanics and biotribology to develop a model capable of predicting the friction in natural joints under representative physiological conditions. You will require a background in computational mechanics and biomedical engineering and to demonstrate innovative approaches to problem solving. You will need to have good experience in validating computational models against experimental evidence to evaluate model performance. 

This post will see you working with partners who are expert in biotribology at the University of Leeds, together with industrial and clinical practitioners. You will use your skills in interdisciplinary research to communicate your findings to researchers with a range of backgrounds. 

We are open to discussing flexible working arrangements.

To explore the post further or for any queries you may have, please contact:

Dr Greg de Boer, Associate Professor

Tel: +44 (0)113 343 2607

Email: G.N.Deboer@leeds.ac.uk

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.

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