At a Glance
- Tasks: Develop machine learning methods for 3D fetal brain imaging using ultrasound technology.
- Company: Join the Oxford Machine Learning in Neuroimaging lab at a prestigious university.
- Benefits: Enjoy 38 days annual leave, excellent pension scheme, and flexible working options.
- Other info: Work with a multidisciplinary team and contribute to innovative medical research.
- Why this job: Make a real impact on fetal health with cutting-edge technology in a collaborative environment.
- Qualifications: PhD in relevant field and experience in machine learning or computer vision.
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
- 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
Postdoc: Neural Rendering for 3D Fetal Brain Imaging 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 access to an excellent pension scheme, generous annual leave, and a commitment to diversity, our team members are supported in both their professional and personal lives. Located in the vibrant city of Oxford, this role offers unique opportunities for growth and collaboration with leading experts in the field, making it an ideal place for those seeking meaningful contributions to medical imaging advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoc: Neural Rendering for 3D Fetal Brain Imaging in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former members of the OMNI lab or related fields. A friendly chat can give you insider info and maybe even a foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your previous work in machine learning and neural rendering. This can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Get together with friends or colleagues for mock interviews. It’s a great way to refine your answers and boost your confidence before the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Postdoc: Neural Rendering for 3D Fetal Brain Imaging in Oxford
Some tips for your application 🫡
Craft Your Supporting Statement:Make sure your supporting statement is tailored to the job description. Highlight how your skills and experiences align with the essential selection criteria. We want to see your personality shine through, so don’t hold back!
Showcase Relevant Experience:When detailing your experience, focus on projects or roles that relate directly to neural rendering, 3D imaging, or machine learning. We’re looking for specific examples that demonstrate your expertise and passion for the field.
Personal Touch is Key:Avoid generic statements and make your application uniquely yours. We appreciate authenticity, so share your insights and personal experiences that connect you to the role. Remember, we want to know *you*!
Double-Check Before You Submit:Before hitting that submit button, give your application a thorough review. Ensure your CV and supporting statement are polished and free of errors. We want to see your best work, so take the time to get it right!
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 3D computer vision. Brush up on your knowledge of machine learning techniques relevant to fetal brain imaging, as this will show your genuine interest and expertise in the field.
✨Tailor Your Supporting Statement
Your supporting statement is crucial! 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 role, especially in developing algorithms for medical imaging.
✨Prepare for Technical Questions
Expect technical questions related to deep learning and ultrasound imaging. Practice explaining complex concepts in simple terms, as you may need to communicate your ideas to a multidisciplinary team, including obstetricians who might not have a tech background.
✨Show Your Collaborative Spirit
This role involves working with a diverse team, so be ready to discuss your experience in collaborative projects. Highlight any previous teamwork, especially in research settings, and how you’ve contributed to achieving common goals.
