Computational Biomechanics for Next-Generation Orthopaedic Solutions and Device Design

Apply and key information

This project is funded by:

Department for the Economy (DfE)
Vice Chancellor's Research Scholarship (VCRS)

Summary

Bodily movement results from the action of muscles exerting forces on our skeleton. The magnitude of these forces has a broad range from walking to high-speed movements during sporting activity. Accurately estimating these forces is crucial for a variety of applications, including the development of computational models for new devices and interventions.

Traditional methods for measuring these forces involve invasive and expensive sensor-based techniques. To overcome these limitations, computational modelling platforms like OpenSim have been created to predict muscle and joint forces based on motion capture data. A recent project, OpenCap, has further enhanced this approach by using multiple smartphones to estimate movement, reducing the need for costly and time-consuming gait analysis.

The project will start by building a dataset of musculoskeletal forces derived from mobile phone videos of various activities, such as walking and running. The next phase will involve incorporating this force data into open-source biomechanical modeling software like the GIBBON toolbox to perform more comprehensive stress analysis on bones and muscles. In the final part of our work, we will apply this method to orthopedic applications, including modeling bone tissue scaffold repair for defects and total hip replacement procedures.

The potential impact of this project is significant. Computational modeling of the musculoskeletal system using low-cost imaging data allows for the optimization of orthopedic interventions in both their design and implementation phases. Providing fast and portable modeling solutions can make biomechanics assessment more common in various applications, including those where it has not been previously considered. Ultimately, this will lead to improved outcomes for patients and contribute to a higher quality of life for our population.

Although successful candidates will be trained in all relevant skills/techniques, preference will be given to applicants with an aptitude for mathematical programming/image analysis and an interest in human movement/orthopaedics

Essential criteria

Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.

We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.

In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.

Experience using research methods or other approaches relevant to the subject domain
A comprehensive and articulate personal statement

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

First Class Honours (1st) Degree
Masters at 65%
Publications - peer-reviewed

Equal Opportunities

The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities.

Appointment will be made on merit.

Funding and eligibility

This project is funded by:

Department for the Economy (DfE)
Vice Chancellor's Research Scholarship (VCRS)

Our fully funded PhD scholarships will cover tuition fees and provide a maintenance allowance of £19,237 (tbc) per annum for three years (subject to satisfactory academic performance). A Research Training Support Grant (RTSG) of £900 per annum is also available.

These scholarships, funded via the Department for the Economy (DfE) and the Vice Chancellor’s Research Scholarships (VCRS), are open to applicants worldwide, regardless of residency or domicile.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Due consideration should be given to financing your studies.