Title: Validating a simple measure for assessing the health of an individual’s gait
Funding: The studentship consists of an annual stipend of £15,609, plus Home tuition fees, for a maximum of 36 months.
Application deadline: 18th July 2022.
Start date: October 2022.
Duration: 3 years (full time)
Location: Colchester Campus.
Based in: School of Sport, Rehabilitation and Exercise Sciences (in collaboration with the Department of Mathematical Sciences).
During daily life activities we encounter different environments/challenges (e.g. walking to the shops), which are key to an individual’s quality-of-life.
When age, injury or disease creates movement difficulties, rapid health deterioration and loss in quality-of-life occur. Therefore, maintaining healthy gait across the population is vital for personal well-being and to reduce socioeconomic health burden.
Reduced order models of locomotion describe walking and running, and are constructed using simple variables, (i.e. CoM) with known movement ranges. This makes them ideal for building multi-use models of gait health; adding Bayesian estimation and MCMC methodologies into the model allows incorporation of prior cycle knowledge that is necessary for modelling cyclical gait cycles.
Simple variables need to be validated for consistency across tasks (i.e. obstacle clearance), environments and applicability as simple screening tools. This validation could generate a ‘gait health’ assessment tool to assess intervention success, fall risk and track pathology progression.
The aims are:
The award consists of full Home tuition fees (further fee details), and an annual doctoral stipend of £15,609, for a maximum of 36 months.
PhD students also receive a £2,500 training bursary via Proficio funding, which may be used to cover the cost of advanced skills training including conference attendance and travel.
Lead supervisorSchool of Sport, Rehabilitation and Exercise Sciences, University of Essex
Co-supervisorSchool of Sport, Rehabilitation and Exercise Sciences, University of Essex
You can apply for this postgraduate research opportunity online.
Applications MUST include the following documents to be uploaded:
Instruction to applicants
When you apply online you will be prompted to fill out several boxes in the form:
If you have any informal queries about this opportunity please email the lead supervisor, Dr Aleksandra Birn-Jeffery (email@example.com).
You can find the terms and conditions of this studentship here (PDF).