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Fully funded PhD Scholarship (3.5 years) in Pre-operative Assessment of Lower Limbs in Virtual and Augmented Reality

   Department of Computer Science

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  Dr G Koulieris  No more applications being accepted  Funded PhD Project (European/UK Students Only)

About the Project

Interpretation of medical imaging of lower limbs [1][2] can be challenging, given that complex 3D anatomy is evaluated on 2D screens, and there exists significant inter-observer variability. The use of VR and AR software is expected to enhance the image viewing experience of clinicians in simulated, real-life like, immersive 3D format, to better understand the complex anatomical abnormalities. We envisage that the use of immersive technologies in such complex medical conditions can improve clinicians’ understanding of structural abnormalities and aid patients’ management, for improved clinical outcomes. This project is in collaboration with a Lead Consultant Musculoskeletal Radiologist from University Hospital of North Durham (UHND).

About This PhD Project

Deadline: 31 August 2020. The deadline is only for guidance as decisions will be made on applicants as they are received.
Applicants are encouraged to apply as soon as possible, as an offer will be made to the first suitable candidate.

The Studentship is for UK and EU Applicants ONLY (EU applicants must have been resident in the UK for at least three years immediately prior to starting the position).

The successful candidate will be based in the Department of Computer Science, Durham University. Durham University ranked 78th in QS World University Rankings 2020.

This studentship will start from October 1st, 2020 and the successful applicant will receive a fully funded scholarship for 3.5 years (subject to satisfactory progression).

The successful candidate will be encouraged to publish their work at major international and national conferences and journals. The candidate can expect their research to have significant impact across industry and academia. The post offers an outstanding opportunity to gain a strong research track record in the exciting and fast-moving area of virtual reality technologies.

Entry Requirements

You will be required to have achieved a 2:1 bachelor’s degree in an appropriate subject, from a recognised university (or equivalent). EU students would also require a minimum overall IELTS 6.5 score of which no element of less than 6.0 (or equivalent: Further information can be found at:
- Excellent programming skills and interest in Computer Graphics are essential criteria
- Experience in Unity 3D programming is an advantage

How to apply

• Apply for Degree of Doctor of Philosophy in Computer Science
• State name of the lead supervisor as George Koulieris
• State ‘EPSRC’ as Intended Source of Funding
• State the exact project title on the application form

When applying please ensure all required documents are attached:
- Your CV
- IELTS certificate
- Transcript of your most recent qualification
- Copy of the certificate of the most recent qualification
- Two reference letters

For informal enquiries please contact Dr George Alex Koulieris [Email Address Removed] with a copy of your CV.

Funding Notes

The studentship includes:

- Domestic fees for UK and EU students (EU applicants must have been resident in the UK for at least three years immediately prior to starting the position).
- A stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£15,285) plus £2000 additional research costs to cover publications/travel expenses.
- The successful applicant will have the opportunity to deliver lab demonstrations in order to both gain teaching experience during their PhD and top up their stipend.


[1] Wang, G. Y., Huang, W. J., Song, Q., Qin, Y. T., & Liang, J. F. (2016). Computer-assisted virtual preoperative planning in orthopedic surgery for acetabular fractures based on actual computed tomography data. Computer Assisted Surgery, 21(1), 160-165.

[2] Buck, F. M., Guggenberger, R., Koch, P. P., & Pfirrmann, C. W. (2012). Femoral and tibial torsion measurements with 3D models based on low-dose biplanar radiographs in comparison with standard CT measurements. American Journal of Roentgenology, 199(5), W607-W612.

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