Do you have a strong technical background in computational mechanics with an interest in biomedical engineering? Would you like to work as part of a multidisciplinary team to address a clinically-driven challenge?

This project is part of a major £4M EPSRC Programme Grant on Optimising Knee Therapies. The aim of the programme is to develop preclinical testing methods for early-stage treatments for knee osteoarthritis so their performance can be optimised.

In the UK, one third of people aged over 45 have sought treatment for osteoarthritis. The knee is the most common site for osteoarthritis and there is a major unmet clinical need for effective earlier stage interventions that delay or prevent the requirement for total knee replacement surgery. Meniscus damage and degeneration are linked to both the onset and progression of osteoarthritis. A number of partial and total meniscus replacements have been developed, but clinical outcomes are variable, likely because of differences in both patient anatomy and surgical technique.

The aim of this project is to develop computational models to evaluate meniscus replacement, specifically meniscal allografts, and examine how patient and clinical variables will affect outcome. You will join a team developing finite element models of the tibiofeomoral joint, and will use data from ongoing experimental work to provide model inputs and for direct validation of the predictions.

You will have a strong background in finite element analysis related to tribology or material interfaces and contact mechanics, and have a proactive approach to working in a multidisciplinary team with engineers, biologists and clinicians.

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

Dr Alison Jones, Lecturer 

Tel: +44 (0)113 343 2099 or via email: A.C.Jones@leeds.ac.uk

Additional information

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Location: Leeds - Main Campus
Faculty/Service: Faculty of Engineering & Physical Sciences School/Institute: School of Mechanical Engineering
Section: Institute of Medical and Biological Engineering
Category: Research
Grade: Grade 7
Salary: £33,797 to £40,322 p.a.
Working Time: 37.5 hours per week
Post Type: Full Time
Contract Type: Fixed Term (Until 30 September 2021 due to grant funding)
Closing Date: Thursday 03 September 2020
Reference: EPSME1026
Downloads: Candidate Brief