|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||£15,225 Maintenance grant per annum|
|Placed On:||13th March 2020|
|Closes:||26th April 2020|
Lead Supervisor name: Prof. Siamak Noroozi
To investigate and further develop a range of generic designs for smart joint transducer artefacts for use during joint implant operations.
Treating it as an inverse problem, the joint contact force is equal or proportional the muscle load intensity. Setting the ideal muscle tension or load intensity during operation is vital for the successful outcome of any joint operation. The purpose of these novel transducers is to measure the contact force whilst tracking the joint contact point. The single use systems will be used in real time and during orthopaedic surgeries in order to aid or inform the operation.
This research can be treated as a product design exercise. The aim is to further develop, test and validate the in-service performance of such transducers and their compliances with various standards.
The complementary pre- and post-processing systems will also aid and inform the main operation planning and post operation assessment.
A deterministic approach during the planning stage to predict the mechanical advantage of a joint before and after the operation is quite beneficial in kinematically locating and placing the implant.
The transducer that is used during the operation will quantify and adjust the joint contact forces which is inversely related to muscle tension.
The ideal tension and kinematically ideal location will greatly extend the life of the implants. The proposed system uses a combination of AI (Artificial Intelligence), IMU (Inertial Measurement Unit), Image processing, mechanical engineering, electrical and electronics engineering, GUI (Graphical User Interface designs), signal processing, material science and control systems in order to perform its task.
What does the funded studentship include?
Funded candidates will receive a maintenance grant of £15,225 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:
We are seeking an enthusiastic and highly motivated person with good interpersonal skills and a keen interest in research. You must meet the above academic criteria in the disciplines of Biomedical Engineering, Mechatronics, Electronics, Mechanical Engineering or a related subject, ability to undertake scientific programming in Matlab, Python, C/C++, etc in addition to the microcontroller programming for the purpose of signal processing and machine learning algorithm development.
In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.
Closing date: The first call for applications will close on 26 April 2020.
For further information on how to apply click the ‘Apply’ button below or email email@example.com
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