The Hong Kong Polytechnic University Featured PhD Programmes
University College London Featured PhD Programmes
Norwich Research Park Featured PhD Programmes
University College London Featured PhD Programmes
University of East Anglia Featured PhD Programmes

A stochastic finite-element model for predicting changes in bone strength

  • Full or part time
  • Application Deadline
    Tuesday, December 31, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

Are you a bright, enthusiastic and self-motivated student interested in a PhD in biomechanics? An exciting multidisciplinary PhD opportunity is now available at the Insigneo Institute for in silico Medicine at the University of Sheffield, UK.

Research context

How effective is a drug in improving bone strength? This ageing-related challenge is one of the focus areas of the recently awarded project MultiSim2 (funded by the EPSRC UK).

The PhD project will involve:

• Capturing bone geometry changes driven by cellular processes;
• Implementing a stochastic finite-element (sFE) model to predict bone strength changes;
• Performing global sensitivity and uncertainty propagation analyses of the sFE model.

About the University of Sheffield

The University of Sheffield is a Russell Group university, which represents the 24 leading UK universities committed to maintaining outstanding research and teaching environments. The University of Sheffield regularly ranks among the top 10 in the UK in terms of research output. In addition to having a long tradition of world-class engineering research, Sheffield benefits from geographical proximity to the industrial cities of Manchester, Liverpool and Leeds.

The ambition of the Insigneo Institute is to achieve a transformational impact on healthcare. As such, it possesses extensive experience in the development of computer simulations aimed at better understanding of the biomechanics of the musculoskeletal system. This project will be co-supervised by Dr Pinaki Bhattacharya, Dr Enrico Dall’Ara and Prof Visakan Kadirkamanathan. It will benefit as well from the multidisciplinarity of MultiSim2 research.

Candidate Profile

The successful candidate should have or be expected to obtain an excellent degree in mechanical engineering, bioengineering, computer science, physics, applied mathematics or a related discipline. Experience in finite-element analysis and in programming languages (e.g. C, C++, Matlab, Python) are essential. Exposure to high-performance computing is desirable

How to apply

For further information about this project, please contact Dr Pinaki Bhattacharya (at ), Dr Enrico Dall’Ara (at ) or Prof Visakan Kadirkamanathan (at ) with “BONEsFE PhD studentship” in the title. To apply, please use our standard on-line PhD application form, including your CV and two references, and indicate on your form that you are replying to this advert. For further guidance on applying, please email .

Funding Notes

Funding and Duration

A 3.5-year studentship is available and is co-funded by the Departments of Mechanical Engineering, Oncology and Metabolism and Automatic Control and Systems Engineering. The studentship covers the cost of tuition fees and provides an annual tax-free stipend at the standard UK research rate. Applicants from outside UK/EU who have additional funding available to cover the difference in between UK/EU and overseas tuition rates are encouraged to apply.

How good is research at University of Sheffield in Aeronautical, Mechanical, Chemical and Manufacturing Engineering?
Chemical and Biological engineering

FTE Category A staff submitted: 30.00

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

FindAPhD. Copyright 2005-2019
All rights reserved.