At a Glance
- Tasks: Join a dynamic team to develop AI for healthcare imaging and ultrasound video analysis.
- Company: Oxford University, renowned for cutting-edge research and innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Be part of an interdisciplinary team focused on human-AI collaboration.
- Why this job: Make a real impact in healthcare with your research and creativity.
- 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 (email: alison.noble@eng.ox.ac.uk). 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[...] in Oxford employer: University of Oxford
Joining the Institute of Biomedical Engineering at Oxford University offers an exceptional opportunity to engage in pioneering research at the intersection of AI and healthcare imaging. With a strong emphasis on collaboration within a supportive, interdisciplinary team, employees benefit from a vibrant work culture that fosters innovation and professional growth. The commitment to diversity and inclusion, exemplified by the Athena Swan Bronze award, further enhances the appeal of this role, making it an ideal environment for those seeking meaningful contributions to real-world applications.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis Closing dat[...] in Oxford
✨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 follow-up! After an interview or networking event, drop a quick thank-you email. It keeps you on their radar and shows your enthusiasm for the position.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it gives you a chance to showcase your skills and passion directly to us at StudySmarter.
We think you need these skills to ace Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis Closing dat[...] in Oxford
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 it comes to your CV, tailor it to showcase your relevant experience in medical image analysis or computer vision. We’re looking for specific examples that demonstrate your skills and how they relate to the position, so make it count!
Get Your Referees Ready:Don’t forget about your referees! Choose two people who can vouch for your research capabilities and character. Let them know you’re applying, so they’re prepared to provide a glowing reference when we reach out.
Apply Online Through Our Website:Make sure to submit your application through our website before the deadline. It’s the easiest way for us to keep track of your application, and we can’t wait to see what you bring to the table!
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, as this will show your genuine interest and understanding of the field.
✨Showcase Your Collaboration Skills
Since you'll be working in a small, interdisciplinary team, highlight your past experiences collaborating with others. Be ready to discuss how you’ve successfully worked with clinical experts or other researchers to achieve shared goals.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview. This could include inquiries about the research group's current projects or how they envision the integration of machine learning in clinical settings. It shows you're engaged and eager to contribute.
✨Tailor Your Application Materials
When crafting your cover letter and CV, align your past experiences and research interests with the job description. Clearly articulate how your background in medical image analysis or computer vision relates to the role, making it easy for them to see your fit.
