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A statistical parametric tool for flatfoot surgery


Project Description

The main purpose of the PhD is to investigate the key parameters impacting surgical outcomes with the aim of improving surgical planning and prognosis. The candidate will develop a parametric model that represents the bone and soft tissue structures as well as consider the loading behaviour would be an important tool for surgical planning.

About a quarter of children under 10 years will have flat feet or Pes Planus (PP) with 10 % of these cases developing into serious musculoskeletal issues such as pain and gait problems during skeletal maturity in adolescence. Many of these symptomatic flat feet cases will require surgery to relieve pain and prevent disability in adult life such as joint arthritis. However surgical outcomes are variable.

This project aims to investigate the key parameters impacting surgical outcomes with the aim of improving surgical planning and prognosis. The candidate will develop a parametric model that represents the bone and soft tissue structures as well as consider the loading behaviour would be an important tool for surgical planning.

This project will include gait analysis, parametric analysis of patient data and mechanical testing; therefore the candidate will be consulting with collaborators in orthopaedic surgery, biomechanics and mechanical engineers. The candidate will gain a unique opportunity to carry out clinical-led research in an exciting interdisciplinary project. The candidate would also benefit from the use of modern facilities at Aston and Cranfield. This includes a gait analysis lab, biomedical testing lab and tissue biomechanics lab. The candidate will spend the majority of time at Aston University with part of the time at Cranfield University’s Defence & Security School, Shrivenham

Responsibilities
- Plan, manage and carry out gait analysis work
- Plan, manage and carry out mechanical testing work
- Carry out parametric analysis; inverse dynamics, spreadsheets and statistical analysis
- Data analysis and interpretation of results
- Present and discuss progress and results at a weekly meeting to PI and co-PIs on project
- Report writing and power point presentations
- Paper writing for scientific publication
- Presenting at least 1 international conference and several national/regional meetings



Funding Notes

The position is available to start in February 2019
This studentship includes a fee bursary to cover the home/EU fees rate plus a maintenance allowance of £ 14,777/year for 3 years.
*Applicants from outside the EU may apply for this studentship but will need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition fees, which is currently a difference of £14,240 per annum.
As part of the application you will be required to confirm that you have applied for, or, secured this additional funding elsewhere, if you are from outside of the EU

References

Applicants should have a Masters at merit level (or MEng) in an appropriate subject and a First class or upper second (2:1) class honours degree or equivalent qualification in Mechanical engineering, Biomedical Engineering or Biomechanics. The candidate will have an excellent academic track record and preferably have one or more of the following skills or knowledge/experience of: biomechanics, gait analysis, inverse dynamics, statistical data analysis, finite element modelling.

Please use reference number PHDCFI03 when applying via [email protected]

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