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: Enjoy 38 days annual leave, a pension scheme, and discounted travel options.
- Other info: Flexible working options available in a dynamic research setting.
- Why this job: Make a real impact on fetal health with cutting-edge technology in a collaborative environment.
- 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 employer: Corehr
The Oxford Machine Learning in Neuroimaging (OMNI) lab offers an exceptional work environment for research associates, fostering collaboration within a multidisciplinary team of experts in deep learning and medical imaging. Located in the vibrant city of Oxford, employees benefit from a generous annual leave policy, a contributory pension scheme, and access to various childcare services, all while contributing to groundbreaking research that has a meaningful impact on healthcare. With opportunities for professional growth and a commitment to diversity, this role is ideal for those seeking a rewarding career in a supportive and innovative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Neural Rendering and Medical Image Reconstruction
✨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 neural rendering and medical imaging. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get together with friends or colleagues for mock interviews. This will help you articulate your thoughts clearly and confidently when it’s your turn.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Research Associate in Neural Rendering and Medical Image Reconstruction
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 you've worked on. We want to see how your skills align with our goals at the OMNI lab!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this position and how your background makes you a perfect fit for our multidisciplinary team. Don’t forget to mention your interest in 3D computer vision and machine learning!
Showcase Relevant Projects:If you've worked on projects related to ultrasound imaging or neural networks, make sure to showcase them. We love seeing practical applications of your skills, so include links or descriptions that demonstrate your expertise in these areas.
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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, so come armed with thoughtful questions. Ask about the current projects in the OMNI lab or how they envision the integration of your work into clinical workflows. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.
✨Practice Your Pitch
Be ready to articulate your research experience and how it aligns with the role. Prepare a concise summary of your past work, focusing on relevant projects that demonstrate your skills in deep learning and image analysis. Practising this will help you communicate your value clearly and confidently during the interview.
