At a Glance
- Tasks: Support innovative research in hip replacement using computational modelling and image analysis.
- Company: Join a multidisciplinary institute focused on improving quality of life through biomedical engineering.
- Benefits: Enjoy 42 days of holiday, gym discounts, and personal development opportunities.
- Other info: Flexible working arrangements and a supportive environment for early-stage researchers.
- Why this job: Make a real difference in healthcare by tackling challenges in hip replacement surgery.
- Qualifications: Strong background in image analysis and finite element methods required.
The predicted salary is between 25650 - 31350 £ per year.
Research Assistant in Computational Modelling of Hip Replacement
Are you an enthusiastic researcher with expertise in biomedical engineering related to orthopaedic applications?
Do you have a strong technical background including experience of using image analysis and finite element methods?
Would you like to work as part of a multidisciplinary institute to address a clinically driven challenge?
We are looking for a proactive individual to join our team of researchers at the institute of Medical and Biological Engineering, to support our vision to improve the quality of life of an ageing population.
This role will support projects funded by the Engineering and Physical Sciences research Council (EPSRC) and industry related to hip replacement surgery.
Over 10% of adults over 45 years of age are living with hip osteoarthritis, and there are nearly 100,000 total hip replacement (THR) surgeries performed in the UK each year.
While the procedure is very successful, it is not suitable for all patients and some experience complications such as implant dislocation or loosening that require further 'revision' surgery.
A range of THR designs have been developed to reduce the risks of complications in different patient cohorts, however, there remain challenges in determining the optimum device choice and implant positioning for each patient.
This role will involve using computational finite element analysis and image processing to examine how different patient variables would affect outcomes of THR.
It will bring together evidence from ongoing clinical and experimental studies, including patient image data and kinematic measurements, alongside data from experimental simulator studies and retrieval analyses.
You will have a strong background in image analysis and finite element modelling and have a proactive approach to working in an experimental and computational environment.
You will join an institute that includes different expertise and substantial experience in supporting early-stage researchers in a key phase of their career.
We encourage an environment of collaboration, trust and wellbeing, which embraces diversity.
We are open to discussing flexible working arrangements.
Please note that due to Home Office visa requirements, this role may only be suitable for first-time Skilled Worker visa applicants if they are eligible for salary concessions.
For more information, please visit the Government's Skilled Worker visa page .
- 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) - That's 42 days a year!
- Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
- Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
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Research Assistant in Computational Modelling of Hip Replacement in Leeds employer: University of Leeds
The University of Leeds is an exceptional employer, offering a vibrant work culture that fosters collaboration between academia and industry. With opportunities for hybrid working, generous holiday allowances, and a robust pension scheme, employees are supported in their professional growth while contributing to meaningful research and innovation initiatives.
