Learned lterative image reconstruction for tomographic imaging with the radiotherapy treatment radiation

Start date

1 October 2024

Duration

3.5 years

Application deadline

Funding source

UKRI and/or University of Surrey

Funding information

We are offering the UKRI standard stipend (currently £18,622 per year) with an additional bursary of £1,700 per year for full 3.5 years for exceptional candidates. In addition, a research, training and support grant of £3,000 over the project is also offered. Full home or overseas tuition fees (as applicable) will be covered.

About

​Radiation therapy is used for more than half of all cancer patients.  New frontiers in radiation therapy are reached by integrating together imaging and radiation-therapy systems, for imaging the patient immediately prior or during treatment. During-treatment (intrafraction) 3D tomographic imaging represents the most powerful tool for precise and personalised therapy, and ultimately for better disease control.    

​This project aims to advance the intrafraction image-guided radiation therapy through the development, computational implementation, and validation of novel statistical and learned iterative image reconstruction algorithms for tomographic imaging with the treatment radiation beam.   

​The student will benefit from the scientific environment and resources provided by the Centre for Vision, Speech and Signal Processing CVSSP and the Surrey Institute for People-Centred AI, and from multidisciplinary collaboration with the Royal Marsden Hospital and industry centres. 

Eligibility criteria

Open to both UK and international candidates.

Up to 30% of our UKRI-funded studentships can be awarded to candidates paying international rate fees. Find out more about eligibility.

You will need to meet the minimum entry requirements for our PhD programme.

Applicants should have:  

  • ​A first class (or equivalent overseas qualification) in an appropriate discipline (e.g., engineering, computer science, signal processing, physics or applied mathematics) or MSc with Distinction (or above 70% average)  
  • ​You should be able to demonstrate excellent mathematical, analytic, programming skills.  
  • ​Previous experience in computer vision, machine/deep learning, would be advantageous.   

How to apply

Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor. 

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Application deadline

Contact details

Lucia Florescu
15 BA 00
Telephone: +44 (0)1483 686045
E-mail: l.m.florescu@surrey.ac.uk
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