Job Vacancy: Image-Guided Retinal Stem-Cell Delivery
An exciting opportunity for a researcher with skills in medical image processing to join an internationally leading university research group at UCL developing medical imaging algorithms for intra-operative assistance in retinal stem cell delivery.
Job Title: Research Associate in Image-Guided Retinal Stem Cell Delivery
Application deadline: 15th August 2016
Proposed start date: 1st October 2016
Duration: 2-years (with a possibility of 1-year extension)
Department: University College London, Institute of Ophthalmology and Translational Imaging Group
This is an exciting opportunity for an enthusiastic researcher with skills in medical image processing to join an internationally leading university research group at UCL. The aim of the project is to have an active role in the full lifecycle of medical imaging algorithms for intraoperatively assisting in retinal stem cell delivery.
The goal of our project is to achieve sight restoration with retinal stem cells. This specific position aims at developing the software tools that enable image-guided delivery of the said stem cells. The PDRA will be involved in the design and development of real-time algorithms that combine pre-operatively acquired images with intraoperative images, to assist in cell transplantation. The final deliverable is a navigation framework that highlights the precise location where cells need to be deployed, while providing subretinal information to the operating clinician through augmented reality. The PDRA will be responsible for algorithm development, testing, and deployment to the operating theatre.
The post holder will be employed by the UCL Institute of Ophthalmology and will closely collaborate with the Translational Imaging Group (TIG) (part of the Centre for Medical Image Computing) and will have access to TIG’s software frameworks and computational resources.
The successful candidate should have an undergraduate degree or equivalent in Computer Science, Engineering, Physics, Mathematics or a related subject and be able to demonstrate good mathematical, algorithmic and software development skills. They should also demonstrate experience in C/C++ programming and python. Knowledge and experience in high-performance computing platforms, such as CUDA and OpenCL is highly advantageous. Prior experience in ophthalmology is advantageous but not required.
If you have any queries regarding the vacancy or the application process, please contact Prof. Lyndon da Cruz and Dr. Christos Bergeles at email@example.com.
Please send CV, cover letter, and contacts of three referees to Dr. Christos Bergeles.
Shortlisted candidates will need to apply through UCL’s recruitment portal.