Postdoctoral Research Assistant in Deep Learning for Ultrasound Imaging

University of Oxford - Department of Engineering Science

Department of Engineering Science, Institute of Biomedical Engineering, Old Road Campus, Headington, Oxford

We are seeking a full-time Postdoctoral Research Assistant to work on a recently awarded European Research Council (ERC) Advanced Grant entitled ‘PULSE: Perception Ultrasound by Learning Sonographic Experience’. You will be part of an inter-disciplinary team of engineers and clinicians working on the research and development of next generation ultrasound systems which will be evaluated in the context of clinical obstetrics. This post is available for a fixed-term of 2 years in the first instance with the possibility of an extension of up to another 3 years (start date is negotiable).

The ambitious objective of the project is to explore how the integration of perceptual cues derived from observing sonographers in the real-world can be utilised to make ultrasound imaging and image interpretation easier for the non-specialist. This particular Postdoctoral Research Assistant (PDRA) position will investigate how to automatically and accurately analyse the content of ultrasound images and videos, involving Deep Learning methods.

You will be responsible for the development and implementation of novel computer vision and learning algorithms and work with clinical researchers on their design and evaluation. A second technical engineering PDRA post is being advertised at the same time focused on the development of the integrated information capture and analysis system in which the developed algorithms will be evaluated.

You should possess a doctorate, or near completion of doctorate in Computer Vision or Machine Learning applied to Bio-Medical Imaging and a background/expertise in image or video recognition and machine learning.

Informal enquiries may be addressed to the Professor Alison Noble OBE FREng, email:

Only applications received before 12.00 midday on 31 October 2016 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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South East England