Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Humans are bodies; and bodies are movement. But exactly how do humans move? What stops you from hitting the floor when you trip? In this project, you will explore these questions by understanding the neuromusculoskeletal biomechanics that allow the precise control required in everyday activities such as raising from a chair or walking. A robotic lower limb model (i.e. a robotic leg) will be used to mimic and simulate different human movements. This project will investigate electrophysiological signalling and dynamics of healthy humans as a full system, using human, computational and experimental (1–4) models of the human knee, as appropriate, to fully explore its behaviour. Results will not only be used to further understanding of human physiology and treatment of musculoskeletal disorders, but also be translated into the design of bionic lower limb prosthetics that can seamlessly integrate with the host.

Based at the University of York.

About Movement Science and Engineering at York

Movement Science and Engineering is a subgroup of Healthcare Engineering at UoY. We currently consist of 10 academics focused on research into movement science and restoration of movement to patients. Research topics cover a diverse range of skills, from development of MEMS sensors for study of proteins, to AI based signal analysis for automated assessment of neuro and MSK degenerative conditions, and human machine interactions with assistive robotics.

About UoY

The University of York takes immense pride in its placement in the top ten UK universities in the REF, affirming our commitment to research excellence with social impact. As a University for the Public Good, we strive to establish strong partnerships and share knowledge to create local and global benefits. The overarching ambition of this project and its potential impact on Healthcare Engineering align perfectly with our principles of inclusion, internationalism, and collaboration.

Entry requirements:

Candidates should have (or expect to obtain) a minimum of a UK upper second-class honours degree (2.1) or equivalent in Mechanical or Electrical Engineering. Experience in biomechanics or computer science will also be considered, however you must show an understanding of fundamental principles of experimental robotics (mechanics, dynamics and control, signal processing etc).

How to apply:

Applicants must apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process. To apply, please select the PhD in Electronic Engineering for September 2024 entry. Please specify in your PhD application that you would like to be considered for this studentship.


Engineering (12)

Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website View Website for details about funding opportunities at York.

References

1. Russell F, Zhu Y, Hey W, Vaidyanathan R, Ellison P. A biomimicking design for mechanical knee joints. Bioinspir Biomim. 2018 Aug 2;13(5):056012. Available from: https://pubmed.ncbi.nlm.nih.gov/30010617/
2. Russell F, Gao L, Ellison P, Vaidyanathan R. Challenges in using compliant ligaments for position estimation within robotic joints. IEEE Int Conf Rehabil Robot Proc. 2017 Jul;2017:1471–6. Available from: https://pubmed.ncbi.nlm.nih.gov/28814027/
3. Russell F, Kormushev P, Vaidyanathan R, Ellison P. The Impact of ACL Laxity on a Bicondylar Robotic Knee and Implications in Human Joint Biomechanics. IEEE Trans Biomed Eng. 2020 Oct;67(10):2817–27. Available from: https://pubmed.ncbi.nlm.nih.gov/32031928/
4. Russell F. A Complete robotic knee as a tool for a better understanding of joint dynamics. 2020 Apr [cited 2023 Oct 27]; Available from: http://spiral.imperial.ac.uk/handle/10044/1/86016

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