Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a multidisciplinary team to enhance early detection of liver cancer using AI and medical imaging.
- Company: Queen Mary University, known for its commitment to diversity and innovation.
- Benefits: Competitive salary, generous leave, flexible working, and professional development opportunities.
- Why this job: Make a real-world impact in healthcare through cutting-edge AI research.
- Qualifications: PhD in relevant field, deep learning experience, and strong Python skills.
- Other info: Inclusive environment with a focus on work-life balance and career growth.
The predicted salary is between 35000 - 45000 £ per year.
We are recruiting a Postdoctoral Research Associate to join a multidisciplinary project focused on early detection of hepatocellular carcinoma recurrence. The project will apply deep learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and evaluating computational methods, analysing imaging data, collaborating with clinicians for real‑world impact, and contributing to publications.
Qualifications
- PhD (or near completion) in computer science, biomedical engineering, medical imaging, or related field
- Experience in deep learning with practical implementation
- Strong Python skills and relevant frameworks
- Experience with large clinical imaging datasets in secure environments
- Background in medical image analysis (CT/MRI preferred)
- Knowledge of detection, segmentation, and model development methods
- Interest in multimodal or longitudinal clinical data
- Ability to work independently and in multidisciplinary teams
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro‑rated for part‑time/fixed‑term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work‑life balance and family‑friendly, inclusive employment policies, flexible working arrangements, and campus facilities.
Diversity & Inclusion
Queen Mary's commitment to our diverse and inclusive community is embedded in our appointment processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Postdoctoral Research Associate in AI & Medical Imaging employer: Queen Mary University of London
Contact Detail:
Queen Mary University of London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in AI & Medical Imaging
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and medical imaging fields. Attend conferences, webinars, or local meetups to meet potential collaborators and mentors who can help you land that postdoc position.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects and any relevant research. This will give you an edge during interviews and demonstrate your practical experience with large clinical imaging datasets.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to medical image analysis and deep learning. Be ready to discuss your past projects and how they relate to the role, especially your experience with CT/MRI data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Postdoctoral Research Associate in AI & Medical Imaging
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deep learning and medical imaging. We want to see how your skills align with the project, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and medical imaging, and how you can contribute to our multidisciplinary team. Keep it engaging and personal!
Showcase Your Research Experience: We love seeing your research journey! Include details about your PhD work, especially any publications or projects related to clinical imaging datasets. This will help us understand your expertise and potential impact.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Queen Mary University of London
✨Know Your Stuff
Make sure you brush up on your deep learning and medical imaging knowledge. Be ready to discuss specific projects you've worked on, especially those involving CT or MRI data. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Your Collaborative Spirit
Since this role involves working with multidisciplinary teams, be prepared to talk about your experiences collaborating with clinicians or other researchers. Highlight any successful projects where teamwork made a difference, as this will demonstrate your ability to work well in diverse groups.
✨Prepare for Technical Questions
Expect some technical questions related to Python and relevant frameworks. Brush up on your coding skills and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident during the interview.
✨Express Your Passion for Impact
This position is all about making a real-world impact in healthcare. Be sure to convey your enthusiasm for using AI in medical imaging and how you see it changing patient outcomes. Sharing your vision can set you apart from other candidates.