Research Associate in Multi-view 3D Ultrasound Reconstruction

University of Oxford; Oxford; Hybrid; GBP 40,000 - 52,000; Full time

Benefits offered by this job

Pension scheme

38 days annual leave

Family leave schemes

Cycle loan

Public transport discounts

Job summary

University of Oxford's Department of Computer Science invites applications for a Research Associate in Multi-view 3D Ultrasound Reconstruction in the OMNI lab. The post-holder will develop methods for 3D reconstruction and data fusion on neonatal cUS data, and validate them in NICU settings.

You will collaborate with deep learning researchers, research software engineers, and neonatologists, reporting to Professor Ana Namburete.

Responsibilities

• Develop 3D reconstruction and multi-view data fusion methods for neonatal cranial ultrasound (cUS).
• Validate methods on NICU data collected by clinical colleagues.
• Collaborate with a multidisciplinary team of deep learning researchers, software engineers, and neonatologists.

Job description

Research Associate in Multi-view 3D Ultrasound Reconstruction

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.