Research Fellow in Computational Modelling of the Hip
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Salary
- £33,797 to £40,322 p.a.
- Closing date
- Dec 8, 2019
View more
- Sector
- Science, Computer Science and IT, Computer Science, Life Sciences, Cell and Molecular Biology
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
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Job Details
Do you have a strong technical background in computational biomechanics?
Would you like to work as part of a multidisciplinary team to address clinically-driven challenges?
This project is part of a £1 million EPSRC Healthcare Technologies Impact Partnership grant. The aim of the programme of work is to develop novel design analysis tools to increase precision and reduce variation in total hip replacement surgery. Through the project, we are developing a suite of computational simulation tools for total hip replacement systems that can be used to evaluate current devices and be embedded into the development process for new device designs.
Variances in surgical positioning of total hip replacement components can have a major effect on edge loading, torque and wear. We have developed a range of computational modelling tools to evaluate the effects of surgical positioning on device performance. This project will focus on expanding these capabilities to incorporate the effects of patient factors, including anatomical and kinematical variables. The work will involve processing image and kinematic data from patients and applying the findings as inputs to numerical and finite element models of the hip. There will be opportunities to work closely with clinical partners in the NIHR Leeds Biomedical Research Centre, as well as with our industry partners on the grant, DePuy Synthes.
You will have a PhD (or close to completion) in computational modelling for a musculoskeletal application, with a strong technical background in computational biomechanics, and expertise in modelling the musculoskeletal system. You will have a proactive approach to working in a multidisciplinary team across academia, industry and clinical practice.
To explore the post further or for any queries you may have, please contact:
Alison Jones, Lecturer : Tel: +44 (0)113 343 2099 or email: a.c.jones@leeds.ac.uk
Would you like to work as part of a multidisciplinary team to address clinically-driven challenges?
This project is part of a £1 million EPSRC Healthcare Technologies Impact Partnership grant. The aim of the programme of work is to develop novel design analysis tools to increase precision and reduce variation in total hip replacement surgery. Through the project, we are developing a suite of computational simulation tools for total hip replacement systems that can be used to evaluate current devices and be embedded into the development process for new device designs.
Variances in surgical positioning of total hip replacement components can have a major effect on edge loading, torque and wear. We have developed a range of computational modelling tools to evaluate the effects of surgical positioning on device performance. This project will focus on expanding these capabilities to incorporate the effects of patient factors, including anatomical and kinematical variables. The work will involve processing image and kinematic data from patients and applying the findings as inputs to numerical and finite element models of the hip. There will be opportunities to work closely with clinical partners in the NIHR Leeds Biomedical Research Centre, as well as with our industry partners on the grant, DePuy Synthes.
You will have a PhD (or close to completion) in computational modelling for a musculoskeletal application, with a strong technical background in computational biomechanics, and expertise in modelling the musculoskeletal system. You will have a proactive approach to working in a multidisciplinary team across academia, industry and clinical practice.
To explore the post further or for any queries you may have, please contact:
Alison Jones, Lecturer : Tel: +44 (0)113 343 2099 or email: a.c.jones@leeds.ac.uk
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