University of Lincoln
PDRA in Medical Imaging AI for Brain Metastasis (CHS359)
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Postdoctoral Research Associate in Medical Imaging AI for Brain Metastasis
We are seeking an ambitious and collaborative Postdoctoral Research Associate to join a new EPSRC Health Technologies Connectivity Award led by Dr Wenting Duan at the University of Lincoln. The project focuses on developing clinically grounded AI for brain metastasis imaging in close collaboration with Professor Dorothee Auer and Dr Stefanie Thust, alongside clinical and imaging researchers at the University of Nottingham and Nottingham University Hospitals NHS Trust.
This is an exciting opportunity for a talented early-career researcher to help shape a focused and growing research programme at the interface of artificial intelligence, medical image analysis, and clinical neuro-oncology. The project is motivated by real clinical challenges in brain metastasis imaging, including small and difficult-to-detect lesions, variation in MRI protocols across hospitals, lesion heterogeneity, and the need for robust and clinically meaningful methods that can translate beyond narrow benchmark settings.
The successful candidate will work closely with the Project Lead and partner clinical collaborators to develop and evaluate AI methods for brain metastasis detection and analysis using public and partner imaging datasets. Depending on expertise and project needs, this may include work on lesion detection and segmentation, multimodal analysis, model robustness and generalisation, morphology-aware analysis, and clinically informed evaluation. The role will also involve dissemination through high-quality publications and conferences, engagement with external stakeholders, and contribution to the development of future translational funding opportunities.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
A distinctive feature of this post is the opportunity to work within a strongly interdisciplinary setting. The project is designed not only around technical AI development, but also around engagement with clinical workflow, imaging practice, and real translational constraints. The postholder will benefit from research visits to collaborators, access to computing support and research equipment, conference participation, and immersion in a collaborative clinical research environment.
Applicants should have, or defended the viva of, a PhD in computer science, artificial intelligence, medical image analysis, biomedical engineering, or a closely related discipline. We are particularly interested in candidates with a strong technical background in medical image computing, machine learning, computer vision, or multimodal AI, together with excellent programming and communication skills. Experience in areas such as lesion detection or segmentation, domain generalisation, robust evaluation, clinically motivated AI, or imaging biomarker analysis would be especially valuable. Evidence of research potential through publications, software, or other high-quality outputs is essential.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
We particularly welcome applicants who are excited by interdisciplinary research, motivated by clinically relevant problems, and keen to work in close partnership with imaging and clinical collaborators. The role would suit a candidate who wants to combine methodological strength with real-world research impact and who is ready to contribute actively to a developing research direction with significant future potential.
Fixed-term: The funds for this post are available for 2 years.
Start date: 01/03/2027
Please include the contact details of one academic referee on the online application form and upload:
- a full curriculum vitae
- a cover letter explaining your suitability for the role
- a short research statement (maximum two pages)
For more information about the position, please contact Dr Wenting Duan (wduan@lincoln.ac.uk).
Closing Date: 27 Sep 2026
Department: Research
Salary: £38,784 per annum
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location