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KCL

European Research Council part-funded PhD Studentship: “Deep Learning-Based Synthetic Histology for Microstructural MRI Biomarkers of the Liver

King’s College London Faculty of Life Sciences & Medicine
Partially Funded ⏰ Closing Soon 🎓 Biomedical Engineering 🎓 Computer Science 🎓 Deep Learning 🎓 Engineering 🎓 MRI 🎓 Mathematics 🎓 Medical Imaging 🎓 Physics phd UK ERC King’s College London London MRI biomedical engineering cancer deep learning liver partially funded synthetic histology

Part-funded 3-year PhD at King’s College London focused on combining deep learning and computational histology to develop novel MRI biomarkers for liver micrometastases detection.

Project Description

The PhD is aligned with an ERC Starting Grant project. Research integrates multi-parametric MRI with histology-informed simulations. Develop synthetic histology meshes via deep learning to build MR signal dictionaries. Apply the framework to preclinical and clinical data to provide histologically meaningful descriptors. Aims to advance precision oncology and improve early metastasis detection.

Entry Requirements

Highly motivated, ideally with background in Biomedical Engineering, Computer Science, Physics, Mathematics, or related quantitative disciplines.
Familiarity with imaging techniques and computational modelling desirable.

How to Apply

Apply via King’s College London postgraduate portal.
Include CV, academic transcripts, personal statement, research experience, and references.

Eligibility

UK/Home
EU
International

Supervisor Profile

DA
Dr Andrada Ianus, Dr Cheng Zhang
King’s College London, Faculty of Life Sciences & Medicine

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