At a Glance
- Tasks: Join a dynamic team to develop AI for healthcare imaging and enhance ultrasound video analysis.
- Company: Be part of Oxford University's innovative research programme led by Professor Alison Noble.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Fixed-term position for 24 months with a focus on human-AI collaboration.
- Why this job: Make a real impact in healthcare with cutting-edge AI technology and interdisciplinary collaboration.
- Qualifications: PhD/DPhil in relevant field and publications in medical image analysis or computer vision.
The predicted salary is between 39424 - 47779 € per year.
We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World‑Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human‑AI decision‑making in healthcare imaging. This post focuses on bridging theory and application of temporal reasoning and ultrasound video analysis from the human‑AI collaboration (HAIC) perspective.
You will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The full‑time post is funded by UKRI and is fixed‑term for 24 months. You will be working in a small highly motivated inter‑disciplinary team working towards a shared goal.
You will be responsible for the design and pilot testing of machine learning‑based automated ultrasound video analysis models that incorporate temporal reasoning. The research will also include work that aims to understand how human behaviour may change with temporal reasoning ultrasound AI tools. Thus, the work will involve both computational methods research and collaborating with clinical domain experts to design and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies (model performance) and qualitative studies (human factors assessment).
You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real‑world applications and use is essential.
Informal enquiries may be addressed to Prof Alison Noble. Only online applications received before midday on 22 May 2026 can be considered. You will be required to upload a cover letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis Closing dat[...] employer: University of Oxford
As a Postdoctoral Research Assistant at the Institute of Biomedical Engineering, you will be part of a dynamic and innovative team dedicated to advancing AI in healthcare imaging. The collaborative work culture fosters creativity and interdisciplinary research, providing ample opportunities for professional growth and development. Located in Headington, you will benefit from being part of a prestigious institution that values diversity and inclusion, as evidenced by its Athena Swan Bronze award, making it an excellent employer for those seeking meaningful contributions to science and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis Closing dat[...]
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the research group you're interested in. A friendly chat can open doors and give you insights that a CV just can't.
✨Tip Number 2
Prepare for interviews by diving deep into the research area. Familiarise yourself with recent publications and ongoing projects. This shows your genuine interest and helps you stand out as a candidate who’s ready to contribute.
✨Tip Number 3
Don’t underestimate the power of a strong online presence. Share your research interests and achievements on platforms like LinkedIn or ResearchGate. It’s a great way to showcase your expertise and connect with potential collaborators.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application and keep track of your progress. Plus, it shows you’re serious about joining our team at StudySmarter!
We think you need these skills to ace Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis Closing dat[...]
Some tips for your application 🫡
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Make sure to highlight your research interests and how they align with the role. We want to see your passion for temporal reasoning and ultrasound video analysis, so don’t hold back!
Tailor Your CV:When applying, ensure your CV reflects your relevant experience in medical image analysis or computer vision. We’re looking for specific examples that showcase your skills and contributions, so tailor it to fit the job description.
Showcase Your Research Experience:In your application, include details about your past research projects and publications. We want to know how your background prepares you for this role, especially in bridging theory and application in AI for healthcare.
Submit Online Through Our Website:Remember, we only accept applications through our website! Make sure to upload all required documents before the deadline. It’s the easiest way for us to review your application and get you on board!
How to prepare for a job interview at University of Oxford
✨Know Your Research
Make sure you’re well-versed in the specifics of temporal reasoning and ultrasound video analysis. Brush up on recent advancements in AI applications in healthcare imaging, especially those related to human-AI collaboration. This will not only show your enthusiasm but also help you engage in meaningful discussions during the interview.
✨Showcase Your Publications
Be prepared to discuss your previous publications in medical image analysis or computer vision. Highlight how your work aligns with the goals of the research group and how it can contribute to the ongoing projects. This is your chance to demonstrate your expertise and how it fits into their vision.
✨Prepare for Interdisciplinary Collaboration
Since this role involves working with clinical domain experts, think about how you can effectively communicate complex technical concepts to non-experts. Prepare examples of past collaborations and how you navigated different perspectives to achieve a common goal.
✨Craft a Compelling Cover Letter
Your cover letter should not just repeat your CV; it should tell a story about your research interests and how they align with the position. Be specific about your past experiences and future aspirations, and make sure to connect them to the objectives of the Turing AI World-Leading Fellowship programme.
