Research Associate in Multi-view 3D Ultrasound Reconstruction

Department of Computer Science, University of Oxford; Indiana; On-site; USD 53,000 - 59,000; Full time

Benefits offered by this job

Excellent contributory pension scheme

38 days annual leave (pro rata for PT)

Family leave schemes

Cycle loan scheme and discountedpublic

Job summary

The Department of Computer Science at Oxford invites applications for a Research Associate in Multi-view 3D Ultrasound Reconstruction. The post-holder will develop 3D reconstruction and multi-view data fusion methods for neonatal cranial ultrasound (cUS) and validate them on NICU data, addressing 3D computer vision and medical image analysis challenges.

Reporting to Professor Ana Namburete, you will join a multidisciplinary team of deep learning researchers, software engineers and

Responsibilities

• Develop 3D reconstruction and multi-view data fusion methods for neonatal cranial ultrasound (cUS).
• Validate methods on NICU data and contribute to research at the intersection of 3D vision, neural rendering and medical image analysis.
• Collaborate with a multidisciplinary team of researchers, software engineers and clinicians under the OMNI lab umbrella.

Job description

Posted: 21st October 2026

Department of Computer Science, Parks Road, Oxford

Research Associate in Multi‑view 3D Ultrasound Reconstruction

Fixed-term contract for 2 years to expected to start in spring 2027

Grade 07RS: £39,424 – £43,984 per annum inclusive of Oxford University weighting

We are currently looking for a Research Associate in Multi‑view 3D Ultrasound Reconstruction in the Oxford Machine Learning in Neuroimaging (OMNI) lab at Oxford’s Department of Computer Science, funded by the European Research Council through the WOMB2COT Starting Grant. The post‑holder will develop 3D reconstruction and multi‑view data fusion methods for neonatal cranial ultrasound (cUS), and validate them on data collected in the neonatal intensive care unit (NICU).

Reporting directly to Professor Ana Namburete, the successful candidate will work within a multidisciplinary team of deep learning researchers, research software engineers, and neonatologists, and will collaborate with Dr Frances O’Brien (Consultant Neonatologist, Oxford University Hospitals NHS Foundation Trust).

The post‑holder will contribute to research at the intersection of 3D computer vision, neural rendering, and medical image analysis. This includes physics‑informed rendering models that account for view‑dependent acoustic appearance, and working with multi‑fontanelle data acquired by clinical colleagues.

This post is based at the Department of Computer Science.

About Us

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world‑class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

The Department of Computer Science at Oxford is renowned for pioneering research and teaching across diverse fields, consistently ranking among the best in the world. Our commitment to innovation drives us to tackle complex technological and societal challenges.

What We Offer

• Excellent contributory pension scheme
• 38 days annual leave (including public holidays) – pro rata for part time jobs
• Family leave schemes
• Cycle loan scheme and discounted public transport

The successful candidate will be based onsite in the Department of Computer Science buildings in central Oxford. However, remote working from within the UK and flexible working arrangements can be considered.

Diversity

Committed to equality and valuing diversity.

The closing date for applications is midday on 23 November 2026. Interviews are expected to be held in early December.