Postdoctoral Research Assistant in Fetal Ultrasound Image Analysis
Health and Medical,Anatomy, Physiology and Pathology,Medical Technology,Computer Science,Computer Science,Artificial Intelligence
Short info about job
Company: University of Oxford
Department: Institute of Biomedical Engineering
Salary: £31,076 to £38,183 Grade 7 p.a.
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1249 5305267
Fax: +44-117 1759704
Detail information about job Postdoctoral Research Assistant in Fetal Ultrasound Image Analysis. Terms and conditions vacancy
We are seeking a full-time Postdoctoral Research Assistant to join the NIH funded CIFADS4 project entitled ‘Image Analysis of Neurofacial Effects of Prenatal Alcohol Exposure (PAE)’ to work on the development of biomedical image analysis methods to support understanding of fetal alcohol syndrome (FAS) in the womb. You will be a member of the Biomedical Image Analysis Group at the Department of Engineering Science and work in close collaboration with researchers based in the Oxford Big Data Institute and Nuffield Department of Obstetrics and Gynaecology. The post is available for 1 year in the first instance with the possibility of annual extensions to a total of 5 years based on satisfactory progress.
The aim of the project is to undertake neurofacial analyses of fetal facial and brain structures derived from 2D and 3D volumetric ultrasound images that have been acquired by a collaborating network. Machine learning based analysis approaches will be developed to gain greater insight into how development in the healthy and FAS fetal brain differ and how neurological structure development and facial features in the developing FAS fetus are correlated. 2D and 3D ultrasound-based software tools will be produced to support researchers in performing studies on cohorts which include antenatal ultrasound assessment.
You should possess a doctorate, or near completion of doctorate, in medical image analysis applied to fetal ultrasound imaging. Experience in collaborating with clinicians and designing and developing solutions which may have impact on healthcare practice in the future are also requirements.
Informal enquiries can be directed to Professor Alison Noble, email: [email protected]
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 applications received before 12.00 midday on 18 September 2017 can be considered.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.