Research Assistant in Computer-Assisted Interventions

University College London - Department of Medical Physics and Biomedical Engineering

The Research Assistant (RA) will be part of a vibrant team that develops robots and algorithms for regenerative medical interventions in confined spaces. More specifically, the funded project pertains to the development of a micro-surgical robot for the implantation of sight-restoring stem cells to the retina. This specific position aims at developing the computer vision tools that enable image-guided delivery of the said stem cells. The RA can be involved in the design and development of real-time algorithms for tool segmentation, retinal image analysis, multi-modal image registration, and the overall framework that provides the computer-aided assistance during the robotic intervention. The RA will have the opportunity to be involved in all aspects of algorithm development, testing, and deployment to the operating theatre. If applicable, the RA will be supported to enrol in a Ph.D. programme at UCL.

The team is highly multidisciplinary, comprising robotics engineers, computer vision specialists, optics engineers, and stem cell biologists under clear clinical guidance. The PDRA will be given to freedom to submit M.Sc./M.Res. projects, as well as become part of PhD Student supervision. Opportunities to submit grant applications for further career development will be encouraged. The project enjoys excellent financial support through a 3-year NIHR i4i grant.

The project is co-led by the PIs Dr. Christos Bergeles (UCL) and Prof. Lyndon da Cruz (Moorfields Eye Hospital). The post holder will be employed within the Translational Imaging Group, part of UCL’s Wellcome EPSRC Interventional and Surgical Sciences Centre, and the Centre of Medical Image Computing.

The position is immediately available, and we are willing to accommodate up to a March 2018 start date. The post is funded for 2 years in the first instance, with a possibility of 1 year further extension.

Candidates must have an M.Sc., equivalent qualification, or equivalent industrial experience in computer vision, computer science, medical image computing, biomedical engineering, or closely related field. Candidates must possess a first or upper second undergraduate degree or equivalent in Mathematics, Engineering, Physics, or related subject, and must demonstrate excellent engineering and communication skills. A strong publication record is expected.

All candidates must have demonstrable experience of computer vision knowledge, algorithm and software development, and a clear understanding of the intricacies of working in translational research projects. Experience in ophthalmic image processing is a plus, but not required. Experience with libraries such as OpenCV, ROS, and VTK would be desirable.

UCL vacancy reference: 1704780      

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

If you have any queries regarding the scientific content of the vacancy, please contact Dr. Christos Bergeles ( c.bergeles@ucl.ac.uk ) For general application queries, please contact Ms Sarah Jeffrey s.jeffrey@ucl.ac.uk

Latest time for the submission of applications: 23:59

Interview Date: TBC

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