We are looking for a Research Assistant in Computational Modelling of the Human Knee (institute of Medical and Biological Engineering, University of Leeds)
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? We are recruiting a Research Assistant in Computational Modelling of the Human Knee (fixed-term position until Sept 2021), 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.
With a degree in medical or mechanical engineering (or a related discipline), 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.
The role will include (see job advert for full list and details of the post):
- Working independently to generate finite element models of the knee from existing image data. You will use methods that have been developed and previously documented in-house and proprietary software;
- Undertaking initial testing of the finite element models using Abaqus software, and trouble-shooting/iteratively changing the models to obtain satisfactory outcomes;
- Working collaboratively with researchers in the team to curate the models in such a way that they can be readily used by future researchers;
- Independently writing reports and helping with the preparation of papers for publication;
- Potentially contributing to the training of undergraduate or postgraduate students, including assisting with the supervision of projects in areas relevant to the project
How to apply
Applications will only be considered through https://jobs.leeds.ac.uk/ — applications open until 17/07/2020
For any queries you may have, please contact: Marlène Mengoni and visit the institute website
The post can be started remotely.