英国帝国理工计算机研究助理/助理 - 生物医学图像分析
Imperial College London - Department of Computing
Location: | London |
Salary: | £31,740 to £43,350 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed on: | 17th May 2017 |
Closes: | 15th June 2017 |
(Maximum salary on appointment will be £39,020 per annum)
Research Associate salary range: £36,070 - £43,350 per annum
Research Assistant salary range: £31,740 - £33,370 per annum
Full time, fixed term appointment for 36 months
Imperial College is consistently in the top 10 world university ranking. The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, the Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality.
We are seeking to appoint a Research Assistant/ Research Associate to develop novel machine learning based medical image analysis methods for our EPSRC funded Healthcare Impact Partnership project “Intelligent and Personalised Risk Stratification and Early Diagnosis of Lung Cancer (EP/P023509/1)”. This 36 month project will bring together expertise in computational imaging and deep learning, expert clinicians and a leading industry partner.
Our aim is to achieve both computational innovations in personalised diagnostics, as well as a strong translational focus for improved patient management, effectively leading the way in providing advanced healthcare technologies for a future UK lung cancer screening programme.
At Research Associate level you must have a PhD (or equivalent) in a relevant discipline with strong interest in biomedical image analysis, computer vision and machine learning. For a Research Assistant position you must have an excellent first degree (or equivalent) and relevant experience. You will need to have an excellent mathematical background and programming skills. Preference will be given to applicants with a proven publication track record in the relevant areas such as deep learning for medical imaging.
You must have excellent communication skills and be able to organise your own work and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English.