Research Associate in Deep Learning and Fetal Neurosonography

Tuesday 23rd September 2025

Contact Email for the Job Positing ana.namburete@cs.ox.ac.uk
Organization University of Oxford
Location Oxford, UK
Title Research Associate in Deep Learning and Fetal Neurosonography
URL https://www.cs.ox.ac.uk/news/2465-full.html
Closing date Sep 29, 2025
Description A postdoctoral research associate position is available for a technically strong researcher to join the Oxford Machine Learning in NeuroImaging (OMNI) lab at Oxford’s Department of Computer Science, focusing on high-performance deep learning for neural implicit reconstruction of ultrasound data. The goal is to advance the scalability and efficiency of neural radiance fields (NeRFs) and related architectures to enable near real-time 3D reconstruction from 2D ultrasound video.
The post-holder will contribute to cutting-edge research at the intersection of deep learning, computer vision, and biomedical imaging. This includes exploring efficient network designs, contributing to the development of novel learning-based representations for geometric reconstruction, and integrating insights from neural rendering into medical imaging workflows. A major focus will be on accelerating inference and training using GPU-optimised components, including custom CUDA kernels.
This role offers a unique opportunity to push the boundaries of neural scene representations in a medical imaging context. The successful candidate will work alongside a multidisciplinary team of deep learning researchers, computer vision experts, and clinicians, designing scalable and responsive tools that directly support prenatal brain imaging at the bedside. The candidate will also benefit from co-supervision by Dr Joao Henriques from the Visual Geometry Group (VGG).
The successful applicant will report to the project PI, Professor Ana Namburete. The position is available from September.