Research Associate in Multi-view 3D Ultrasound Reconstruction

Economics Network; Oxford; Hybride; GBP 39 000 - 44 000; Plein temps

Avantages offerts par ce poste

Excellent contributory pension scheme

38 days annual leave (including public

Family leave schemes

Cycle loan scheme and discounted p u

Résumé du poste

The University of Oxford’s Department of Computer Science invites applications for a Research Associate in Multi-view 3D Ultrasound Reconstruction in the OMNI lab, funded by the ERC Starting Grant and starting Spring 2027.

The post holder will develop 3D reconstruction and multi-view data fusion methods for neonatal cranial ultrasound and validate them on NICU data, collaborating with neonatologists, DL researchers and research software engineers.

Responsabilités

• Develop 3D reconstruction and multi-view data fusion methods for neonatal cranial ultrasound.
• Validate methods on NICU data.
• Collaborate with a multidisciplinary team including neonatologists, deep learning researchers and software engineers.

Description du poste

Contract type: Fixed-term contract for 2 years to start in Spring 2027

Location: Computer Science, Wolfson Building, Parks Road, Oxford

About the Role

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

As an employer, we genuinely care about our employees’ wellbeing, reflected in the range of benefits that we offer including:

• 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.

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