Filled Vacancies

Title: Image Guidance in Abdominal Surgery

Department: Medical Physics and Bioengineering 

Subsection: Translational Imaging Group (TIG) within the Centre for Medical Imaging Computing (CMIC) 

Duration: 3 years 

Stipend: £16,851 per annum tax-free, full fees paid. 

Closing Date for Applications: June 09th, 2015

 

Project Outline:

Applications are invited for a 3 year PhD studentship based within the UCL Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering in conjunction with the Department of Surgery at the Royal Free Hospital, starting in September 2015.

 

In the UK approximately 1800 liver resections are performed annually for primary or metastatic cancer. This is a major global health problem and 150,000 patients per year could benefit from liver resection. Laparoscopic (“keyhole”) resection potentially has significant benefits in terms of reduced pain and complications for the patient and cost savings due to shorter hospital stays. However, only about 10% of patients are considered suitable for laparoscopic liver resection due to the added risks and complexities. Pre-operative imaging modalities such as Computed Tomography (CT) can clearly identify the location of critical vessels and tumours. The aim of our project is to facilitate safer surgery, and to enable a higher percentage of liver resections to be performed laparoscopically. This will be achieved by augmenting the laparoscopic video with additional information from the pre-operative data, thereby guiding the surgeon through complex tasks.

The successful applicant will join an existing project, and will therefore benefit from the support of an experienced surgical and technical team. The candidate will be expected to observe and participate in surgical cases and fully understand the complexities of delivering technology into the operating theatre. The aim of the PhD will be to develop novel technology in the area of intra-operative registration, visualisation, anatomical modelling or computer vision. The successful candidate would be expected to design, develop and implement software tools to demonstrate their new algorithms. This project would suit someone with a background in computer science, physics or a numerical discipline, having strong mathematical skills, with solid programming skills in an object oriented language such as C++, who has experience in graphics and visualisation and has the desire to provide solutions to enhance patient care.


The current focus of the project is towards liver surgery, but we envisage the computational aspects will be broadly applicable and can be tested on other data, as it becomes available.

Eligibility and to apply:

In order to be eligible, applicants will have achieved (or are predicted) a first class or upper second class honours undergraduate degree (or equivalent international qualifications or experience) in a related subject.

 

The studentship compromises of UK/EU fees level and a tax-free stipend of £16,851 per annum. In order to qualify candidates must be UK/EU passport holders or qualify for UCL home fees status.

 

To apply please send:

  1. A copy of your CV
  2. Contact details of 2 academic references
  3. A cover letter stating the reasons you are applying for this studentship

 to:applications@medphys.ucl.ac.uk

 

The successful applicant to this project will join the UCL Centre for Doctoral Training in Medical Imaging programme, for more information please go to: http://www.ucl.ac.uk/imaging-cdt

  

For more information about the Translational Imaging Group: http://cmictig.cs.ucl.ac.uk/