Research Associate in Neural Rendering and Medical Image Reconstruction
Posted 1 day 6 hours ago by Corehr
Computer Science - Wolfson Building, Parks Road, Oxford
We are looking for a postdoctoral research associate position in the Oxford Machine Learning in Neuroimaging (OMNI) lab at Oxford's Department of Computer Science.
The post-holder will report directly to Professor Ana Namburete and will work within a multidisciplinary team of deep learning researchers, research software engineers, and obstetricians, and will collaborate with Dr João Henriques (Visual Geometry Group, VGG) and Professor Aris Papageorghiou (Nuffield Department of Women's and Reproductive Health).
The project focuses on efficient neural implicit representations and neural rendering methods for volumetric reconstruction from freehand ultrasound sweeps acquired with handheld probes. The overarching goal is to enable near real time 3D reconstruction at the bedside, supporting quantitative assessment of fetal brain development in low resource settings.
The post-holder will develop machine learning and neural scene representation methods for reconstructing 3D fetal brain volumes from handheld ultrasound video, and integrate these algorithms into interactive clinical imaging workflows. They will contribute to research at the intersection of 3D computer vision, neural rendering, and medical image analysis. This includes developing scalable 2D to 3D reconstruction architectures and working with ultrasound acquisition systems to deliver interactive feedback during scanning.
The successful candidate will work onsite in the Department of Computer Science buildings in central Oxford; however remote and flexible working can be considered.
What We Offer- An excellent contributory pension scheme
- 38 days annual leave (pro rata for part time roles)
- A comprehensive range of childcare services
- Family leave schemes
- Discounted bus travel and Season Ticket travel loans
- Membership to a variety of social and sports clubs
- Salary (GBP): £39,424 - £43,984 per annum inclusive of Oxford University weighting
Committed to equality and valuing diversity.