We are seeking a full-time Translational Imaging Research Software Engineer to join the Oxford Biomedical Image Analysis Laboratory to work on a number of translational imaging research projects in collaboration with two groups in the Nuffield Department of Women’s and Reproductive Health. This is a rare opportunity to join an internationally leading inter-disciplinary team researching novel machine-learning based image analysis methods and investigating their early deployment and demonstration of proof-of-utility in real-world settings. This new post is being funded by two grants and the work will be split between the two. The role on the first grant is to support translation of algorithms into research tools for diagnosing fetal alcohol spectrum disorder towards clinical use. The role on the second grant is to support the automated annotation of structures in a very large scale fetal ultrasound dataset to support clinical obstetric imaging data science.
This new post is full-time and fixed-term until 31 October 2022, with the possibility of an extension (subject to funding). You will be part of a team, and will have direct responsibility for the development and support of prototype image analysis research tools and demonstrators.
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. Expertise with deep learning toolkits, and experience in multiple core (eg OpenMP) and cluster (eg OpenMPI) programming are also essential. Good written and oral communication skills are essential, as well as the ability to prioritise a busy workload and being a teamplayer. This vacancy is available immediately.
Informal enquiries can be directed to Professor Alison Noble (firstname.lastname@example.org).
Only online applications received before midday on Monday, 17 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.