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Modelling hypo-fractionated radiation therapy

Funding:

Funded PhD

Duration:

3 years (full-time)

Application deadline:

Wednesday 23 January

About this project

Hypo-fractionated radiotherapy is a strategy in which the total dose of radiation is divided into large doses and treatments are given over a short period of time when compared with traditional radiotherapy regimens.

This strategy has advantages in terms of reducing the cost of therapy associated with cancer radiotherapy, but further work remains to be done regarding the safety and efficacy associated with this strategy. Importantly, the use of radiobiology biomarkers could allow for a clinically relevant assessment of efficacy of hypofractionation.

In this project we will be using in silico modelling and simulations to investigate the impact of the use of ‘hypoxia scores’ or a ‘hypoxia map’ in increasing the effectiveness of fractionated radiotherapy strategies. The models developed will also assess whether targeted therapy of relevant signalling pathways could constitute novel biomarkers for clinically relevant hypo-fractionation sensitising strategies.

The successful candidate will be expected to have a solid knowledge base in physics or computer science, and, ideally, some knowledge on cancer biology and medical physics. The candidate must also show a willingness to work in a multi-disciplinary environment with NHS researchers, and embrace the area of model development for radiotherapy planning.

The University's Postgraduate Training Scheme (PGTS) provides a range of generic and discipline-specific modules to support research students through their programme. 

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Funding

Full-time UK/EU and International PhD Scholarships will include tuition fees and maintenance (£14,777 in 2018/19) for three years, depending on satisfactory progress.

Entry requirements

Applicants should have a 1st class undergraduate degree in Physics, Computer Science, Medical Imaging, or a related discipline, or a Masters level research qualification in a relevant discipline. A 2:1 may be considered, if combined with relevant experience.

Interviews will be held between 7 and 27 February 2019.

Successful applicants will be informed of the award as soon as possible and by 15 March 2019 at the latest.

Studentships will start on 16 September 2019.