At a Glance
- Tasks: Develop machine learning methods for 3D fetal brain reconstruction from ultrasound video.
- Company: Join the Oxford Machine Learning in Neuroimaging lab at the University of Oxford.
- Benefits: 38 days annual leave, excellent pension scheme, and flexible working options.
- Other info: Collaborate with a multidisciplinary team in a dynamic research environment.
- Why this job: Make a real impact in medical imaging and fetal health with cutting-edge technology.
- Qualifications: Experience in deep learning and computer vision is essential.
The predicted salary is between 39424 - 43984 £ per year.
We are looking for a postdoctoral research associate position 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.
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
- Discounted bus travel and Season Ticket travel loans
- Membership to a variety of social and sports clubs
- Salary (GBP): £39,424 – £43,984 per annum inclusive of Oxford University weighting
Diversity Committed to equality and valuing diversity.
Research Associate in Neural Rendering and Medical Image Reconstruction in Oxford employer: Corehr
As a Research Associate in Neural Rendering and Medical Image Reconstruction at the prestigious Oxford Machine Learning in Neuroimaging (OMNI) lab, you will be part of a dynamic and multidisciplinary team dedicated to pioneering advancements in medical imaging. Our commitment to employee growth is reflected in our excellent benefits, including a generous pension scheme, 38 days of annual leave, and access to childcare services, all within the vibrant academic environment of central Oxford. Join us to contribute to meaningful research that has the potential to transform healthcare in low-resource settings while enjoying a supportive work culture that values diversity and collaboration.
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 folks in the OMNI lab or related fields on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in machine learning and neural rendering. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get together with friends or colleagues for mock interviews. It’s a great way to build confidence and refine your answers to common questions.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team at StudySmarter.
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 CV:Make sure your CV is tailored to the role of Research Associate. Highlight your experience in neural rendering, medical imaging, and any relevant projects that showcase your skills in machine learning and 3D reconstruction.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this position. Mention specific projects or experiences that relate to the work at the OMNI lab and how you can contribute to the team.
Showcase Your Teamwork Skills:Since you'll be working with a multidisciplinary team, emphasise your ability to collaborate effectively. Share examples of past teamwork experiences, especially in research settings.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves!
How to prepare for a job interview at Corehr
✨Know Your Stuff
Make sure you brush up on the latest trends in neural rendering and medical image reconstruction. Familiarise yourself with the specific technologies and methodologies mentioned in the job description, like 3D computer vision and machine learning techniques. This will show that you're not just interested but also knowledgeable about the field.
✨Show Your Collaborative Spirit
Since this role involves working with a multidisciplinary team, be prepared to discuss your experience in collaborative projects. Think of examples where you've successfully worked with others, especially in research settings. Highlight how you can contribute to a team dynamic and support the overarching goals of the project.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the OMNI lab's current projects or the specific challenges they face in developing interactive clinical imaging workflows. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to the role. Think about potential challenges in volumetric reconstruction from ultrasound data and how you would approach them. This will demonstrate your critical thinking and problem-solving abilities, which are crucial for this position.
