UK:Research Associate in Computer Vision and Machine Learning for Trajectory Analysis in Robotic Endovascular Surgery at University College London

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Full Time: The appointment will be on UCL Grade 7.

Salary range: will be £32,375 – £39,132 per annum, inclusive of London Allowance.

Description:The project is an exciting opportunity to work within a dynamic consortium creating the next generation of surgical robotic systems. The vision and analysis techniques developed will be used to augment and design the robotic control system subject to specific anatomical structures in the vasculature. The consortium involves a multidisciplinary team from leading research institutions from the UK, Belgium, Germany and Switzerland as well as industrial partners.The aim of the post is to provide the technical skills necessary to design, build and improve upon software systems based on existing medical image computing/computer vision algorithms and use the derived data for new methods of measuring surgical competence and evaluating procedural risk. These will be used in clinical evaluation studies and may potentially lead to commercial opportunities.

Duration: The post is available for 30 months in the first instance.

Eligibility: The successful candidate will have a minimum 2.1 BSc in a relevant field. They will also have a PhD or equivalent experience in medical image computing, computer aided computing skill analysis or a closely related field.We are looking for candidates with a proven record in a combination of the following: computer vision, machine learning, medical image computing and image guided interventions. You are expected to have a record of achievement relevant to your experience and be highly motivated and able to work within a large team.

UCL vacancy reference : 1351852 

To Apply: please contact Dr Danail Stoyanov ( ).

Closing Date: 22/8/2013

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