|Salary:||£42,149 to £50,296 p.a. Grade 8|
|Placed On:||13th September 2021|
|Closes:||11th October 2021|
Location: Department of Engineering Science, Institute of Biomedical Engineering, Old Road Campus Building, Headington OX3 7DQ
Salary: Grade 8: £42,149 - £50,296 p.a.
We are seeking a full-time Senior Research Software Engineer to join the Oxford Biomedical Image Analysis Laboratory in a pivotal role working 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 Hong Kong. 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. The post is currently available until 31 October 2022, but may be extended subject to securing further funding. You will be responsible for taking first-proof-of-principle deep learning algorithms and considering their generalization to embedded solutions in clinical demonstrator systems.
You should have a degree or higher-level qualification in engineering, physics, computer science or related subject, and have experience in building integrated software-based imaging methods and image-based software apps and testing them in real world settings. Good written and oral communication skills are essential, as well as the ability to prioritise a busy workload. Interest in collaborating with end-users/clinical partners to design and develop solutions which may have impact on healthcare practice is also essential, as well as experience of image analysis and deep learning.
The vacancy is available now, and we are looking to fill this post as soon as possible.Please note that the post cannot be offered as a remote-working position, as the work requires you to access clinical data and use of equipment onsite at the Old Road Campus, Headington.
Informal enquiries can be directed to Professor Alison Noble (email@example.com).
Only online applications received before midday on 11 October 2021 can be considered. 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.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
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