At a Glance
- Tasks: Join a multidisciplinary team to develop machine learning methods for 3D fetal brain reconstruction.
- Company: Oxford's Department of Computer Science, part of a leading research university.
- Benefits: 38 days annual leave, excellent pension scheme, and flexible working options.
- Other info: Collaborate with top researchers and enjoy a vibrant work culture in Oxford.
- Why this job: Make a real impact in medical imaging and support fetal health in low-resource settings.
- Qualifications: Postdoctoral experience in deep learning and computer vision required.
The predicted salary is between 39424 - 43984 £ per year.
Fixed-term for 2 years. Location: Wolfson Building, Parks Road, Oxford.
We are looking for a postdoctoral research associate position available 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.
Flexible working: 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: As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:
- An excellent contributory pension scheme
- 38 days annual leave (pro-rata for part-time roles)
- A comprehensive range of childcare services
- Family leave schemes
- Cycle loan scheme
- Discounted bus travel and Season Ticket travel loans
- Membership to a variety of social and sports clubs
Diversity: Committed to equality and valuing diversity.
Application Process: You will be required to upload a supporting statement and an up-to-date CV as part of your online application. Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered. While we recognise the value of AI tools in assisting with application preparation, submissions that are clearly AI-generated without personalisation or insight will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.
The closing date for applications is noon on 29th June 2026. Interviews are expected to be held in July.
£39,424 to £43,984 per annum inclusive of Oxford University weighting. Grade 07RS.
Research Associate in Neural Rendering and Medical Image Reconstruction in Oxford employer: University of Oxford
At the Oxford Machine Learning in Neuroimaging (OMNI) lab, we pride ourselves on fostering a collaborative and innovative work environment that prioritises employee wellbeing. With an impressive benefits package including 38 days of annual leave, a contributory pension scheme, and flexible working options, we are committed to supporting your professional growth and work-life balance. Join us in central Oxford, where you will have the opportunity to contribute to groundbreaking research at the intersection of technology and healthcare, all while being part of a diverse and inclusive team.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Neural Rendering and Medical Image Reconstruction in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the OMNI lab or related departments. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into the latest research in neural rendering and medical imaging. Show us that you're not just familiar with the basics but are genuinely excited about the cutting-edge work being done in the field.
✨Tip Number 3
Practice your presentation skills! You might need to explain complex concepts clearly and confidently. Consider doing mock interviews with friends or colleagues to get comfortable with articulating your ideas.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team at Oxford.
We think you need these skills to ace Research Associate in Neural Rendering and Medical Image Reconstruction in Oxford
Some tips for your application 🫡
Tailor Your Supporting Statement:Make sure your supporting statement is personalised and directly addresses the essential selection criteria. We want to see how your unique experiences align with the role, so don’t hold back on showcasing your skills!
Craft a Stellar CV:Your CV should be up-to-date and clearly highlight your relevant experience. We’re looking for specifics that relate to neural rendering and medical image reconstruction, so make it count!
Showcase Your Passion:Let your enthusiasm for the field shine through in your application. We love candidates who are genuinely excited about the work we do at OMNI lab, so share why this role speaks to you!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure your application gets to us without any hiccups. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at University of Oxford
✨Know Your Stuff
Make sure you’re well-versed in the latest developments in neural rendering and medical image reconstruction. Brush up on relevant machine learning techniques and be ready to discuss how they apply to the role. This shows your genuine interest and expertise.
✨Tailor Your Supporting Statement
Your supporting statement is your chance to shine! Clearly demonstrate how your skills and experiences align with the essential selection criteria. Use specific examples from your past work that relate directly to the responsibilities of the position.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review common algorithms and methods used in 3D computer vision and neural scene representation. Practising explaining these concepts clearly can help you stand out as a knowledgeable candidate.
✨Show Your Team Spirit
Since this role involves working within a multidisciplinary team, be prepared to discuss your collaborative experiences. Highlight instances where you’ve successfully worked with others, especially in research settings, to show you’re a great fit for their team dynamic.
