Summary
Applications are invited for a Postdoctoral Research Associate position at the Barts Cancer Institute (BCI), Queen Mary University of London. The role focuses on AI-driven early detection of hepatocellular carcinoma recurrence using deep learning, multiphase CT imaging, and longitudinal biomarker data. The project brings together clinicians and AI researchers to develop impactful computational tools for real-world cancer diagnosis and monitoring.
Postdoctoral Research Associate in AI & Medical Imaging – Queen Mary University of London, UK
Designation
Postdoctoral Research Associate (Fixed-Term, Part-Time)
Salary: £38,419 – £46,618 per annum (pro rata)
Research Area
- Artificial Intelligence in Healthcare
- Medical Image Analysis (CT/MRI)
- Deep Learning for Disease Detection
- Oncology Informatics
- Multimodal Clinical Data Analysis
- Longitudinal Biomarker Modeling
- Computer Vision for Medical Imaging
Location
Barts Cancer Institute (BCI)
Faculty of Medicine and Dentistry
Queen Mary University of London Barts Cancer Institute
London, United Kingdom
Eligibility / Qualification
Applicants should have:
- PhD (or near completion) in: Computer Science, Biomedical Engineering, Medical Imaging, Or a related discipline.
- Strong experience in deep learning (theory + implementation)
- Proficiency in Python and AI frameworks (e.g., PyTorch/TensorFlow)
- Experience handling large clinical imaging datasets in secure environments
- Background in medical image analysis (CT/MRI preferred)
- Knowledge of:
- Detection and segmentation models
- AI model development and evaluation
- Interest in multimodal and longitudinal clinical data
- Ability to work independently and in multidisciplinary teams
Job Description
The selected candidate will:
- Develop and apply deep learning models for early cancer recurrence detection
- Analyse multiphase CT imaging and longitudinal biomarker data
- Design and evaluate AI algorithms for medical imaging applications
- Work closely with clinicians and interdisciplinary research teams
- Contribute to real-world clinical translation of AI tools
- Manage and analyse large-scale medical imaging datasets
- Publish research in peer-reviewed journals and conferences
- Support collaborative cancer research initiatives within BCI and partner institutions
How to Apply
- Applications must be submitted through the official online portal of Queen Mary University of London
- Required documents may include:
- CV
- Research statement / cover letter (as specified in application system)
- Candidates should demonstrate how they meet the essential criteria
- Flexible and part-time work applications are welcome
- Reasonable adjustments available for applicants with disabilities
Last Date for Apply
12 July 2026
