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Postdoctoral Research Assistant in Deep Learning for Fetal Ultrasound Image Analysis


Grade 7: £32,817 - £40,322 p.a.

Closing date

May 12, 2021 12:00PM


We are seeking a full-time Postdoctoral Research Assistant to work on a project developing algorithms for automatic text captioning of fetal ultrasound content.  The post is funded by the European Research Council (ERC) Advanced Grant entitled ‘PULSE: Perception Ultrasound by Learning Sonographic Experience’ and uses the database generated by this project.  This position is fixed-term for up to 12 months.


The main responsibilities of this Postdoctoral Research Assistant (PDRA) position are the development and improvement of novel methods for automatic text captioning of fetal ultrasound content.  You will also collaborate with the clinical research fellow on technical aspects of clinical data annotation, clinical data analytics and assist in providing technical analysis input to preparation of clinical publications.


You should possess a doctorate, or near completion of a doctorate in Biomedical Ultrasound Image Analysis and have expertise in designing, building, and evaluating original deep learning algorithms for ultrasound image analysis.  You will also be creative, have experience of validating method with clinical researchers, and enjoy the challenges and rewards of contributing to research that is trying to have a positive impact on advancing healthcare.  Excellent oral communication skills, including ability to communicate complex technical ideas to collaborators and scientists in different fields is also essential.


Informal enquiries may be addressed to the Professor Alison Noble OBE FRS FREng (


Further information can be found at


Only applications received before midday on12 May 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.

Contact name

Professor Alison Noble

Contact email