Research Associate in Medical Image Computing: Histological Image Analysis

University College London - Department of Computer Science

The appointment will be on UCL Grade . The salary range will be Grade 7: £34,635 - £41,864 per annum Grade 8: £43,023 - £50,753 per annum, inclusive of London Allowance.

UCL is among the top-ten world-wide research institutions and has particular strengths in Biomedicine and Engineering. CMIC combines methodological researchers from the Departments of CS and Medical Physics & Bioengineering with biomedical and clinical groups in UCL’s Medical Faculties. The interface of these areas is a unique and exciting place to do cutting-edge research. This post will be focused on developing computational methods to i) analyse prostate histological images, ii) learn a mapping between them and patient outcome and iii) assist in aligning them with MRI. The successful candidate will work closely both with post-doctoral researchers within the group and clinicians at UCLH. This is an exciting opportunity to develop state-of-the-art imaging and machine learning methods and apply them directly on clinical data to address open questions in medical imaging and cancer management.

The duration of the post is initially funded for 2 years.

Applicants must have, or expect to obtain, a PhD in a relevant discipline. Experience is essential in one or more of the following areas: computational imaging, machine learning, medical image analysis and image registration. The post holder will need to demonstrate a good publication record in relevant journals and conferences and good programming skills.

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

For further details and informal enquiries please contact Prof. Daniel Alexander ( d.alexander@ucl.ac.uk ).

Latest time for the submission of applications: 23.59.

Interview Date: TBC

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