Filled Vacancies

 

UCL Department / Division: Medical Physics and Biomedical Engineering
Specific unit / Sub department: Translational Imaging Department
Grades: 7-8
Hours: Full Time
Salary (inclusive of London allowance): Grade 7 £33,353 - £40,313 per annum /Grade 8 £41,430 - £48,873 per annum
 
 
Duties and Responsibilities
 

This is an exciting opportunity for an enthusiastic researcher with skills in scientific computing to join an internationally leading university research group. The aim of the project is to have an active role in the full lifecycle of a surgical planning system for epilepsy neurosurgery.

The main purpose of this post is to refine and test automated and interactive planning of neurosurgical interventions for the treatment of epilepsy. The planning software will be used to plan the keyhole surgery for the placement of intracranial electrodes; perform post-implantation analysis of the intracranial electrodes to identify the seizure onset zone; and plan the resection volume in order to successfully remove the seizure onset zone. Additional research topics for the project include modelling the biomechanical response of the brain during resection and inter-operative image registration to guide resection. The project has a strong translational focus, and excellent software development skills and a familiarity with C++ are required to design, document, implement, test, and deliver a working planning tool for daily clinical use at the National Hospital for Neurology and Neurosurgery (NHNN).

This post is funded for 24 months in the first instance.

Key Requirements

Candidates must have a PhD, equivalent qualification, or equivalent industrial experience, in image processing, medical image analysis, computer vision or a closely related field. Candidates must possess a first or upper second undergraduate degree, or equivalent in Computer Science, Engineering, Physics, Mathematics or a related subject and be able to demonstrate excellent communication skills.

 Candidates must have demonstrable experience of C++ programming and software development in a collaborative development environment. Familiarity with version control using software such as Subversion or Git is preferable. An in-depth working knowledge of medical image analysis and/or image-guided surgery, as evidenced by a PhD or equivalent degree or equivalent industrial experience is essential. A demonstrable interest in biomechanical modelling and tissue dynamics is preferable. Experience with either GPU programming, for example CUDA or OpenCL is desirable. In addition, experience of developing commercial software-based medical devices (including knowledge and experience of standard software design and development processes for CE marking and/or FDA approval) is desirable.

To be appointed at Grade 8 (Senior Research Associate) candidates must be able to demonstrate experience leading a team of researchers and have some evidence of being invited to present at international conferences. Experience of serving on peer review committees would be desirable.

Further Details

If you have any further queries please contact Neha Shah, ">.

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This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.