|Salary:||£40,792 to £48,677 per annum|
|Placed On:||16th August 2019|
|Closes:||16th September 2019|
Institute of Biomedical Engineering, Old Road Campus Building, Headington, Oxford
Grade 8: £40,792 - £48,677 p.a.
THIS IS A READVERTISEMENT, PREVIOUS APPLICANTS NEED NOT APPLY
We are seeking a full-time Machine Learning in Medical Imaging Research Platforms Systems Engineer to join the Oxford Biomedical Image Analysis Laboratory to work on a number of exciting on-going translational research machine learning in ultrasound imaging projects involving clinical collaborators in Oxford, as well as overseas partners in India and sub-Saharan Africa. This is a rare opportunity to join an internationally leading inter-disciplinary team developing novel machine-learning based ultrasound image analysis methods and investigating their early deployment and demonstration of proof-of-utility in real-world settings. This new post is full-time and fixed-term for up to 2 years in the first instance. You will be responsible for the development and support of prototype research image acquisition and analysis systems that the research group develops, research demonstrators, and support medical image analysis researchers in evaluation of image analysis methods. You will also write and modify software code to integrate analysis software with acquisition systems and develop complete end-to-end systems.
You should hold a Master’s degree in engineering, physics, computer science or a related subject and have experience in building integrated software-based imaging methods and image-based software apps, and systems engineering. Good written and oral communication skills are essential, as well as the ability to prioritise a busy workload. Experience with programming graphical user interfaces with Qt in collaboration with end-users/clinical partners, to design and develop solutions which may have impact on healthcare practice is also essential. Experience of image analysis and deep learning is desirable. This vacancy is available immediately.
Informal enquiries can be directed to Professor Alison Noble using the email address below.
You will be required to upload a covering letter/supporting statement, including a brief statement of research interests, CV and the details of two referees as part of your online application.
Only online applications received before 12.00 midday on Monday 16 September 2019 can be considered.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
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