Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship 2027/28

Prostate cancer remains one of the most common cancers in men, yet accurately predicting which individuals will develop clinically significant disease or experience disease progression remains a major challenge. Advances in magnetic resonance imaging (MRI), biomarker discovery, and health data science have created unprecedented opportunities to improve risk stratification and support personalised clinical decision-making. ReIMAGINE[Life] is a pioneering prospective cohort study that has assembled one of the world's most comprehensive collections of clinical, imaging, laboratory, pathological and long-term outcome data for prostate cancer research.

This PhD studentship will develop and apply innovative statistical and machine learning approaches to improve prediction of prostate cancer outcomes using multimodal data from ReIMAGINE[Life]. The successful candidate will work within Work Package 3 (Advanced Statistical Modelling), jointly led by Professor Mieke Van Hemelrijck (King's College London) and Professor Ton Coolen (Radboud University Medical Center).

The project will focus on integrating diverse sources of information, including clinical characteristics, imaging-derived features, biomarkers and longitudinal follow-up data, to identify patient subgroups with distinct disease trajectories and outcome risks. The student will develop and evaluate advanced prediction models using state-of-the-art Bayesian statistical methods, survival analysis techniques and machine learning approaches. Particular emphasis will be placed on understanding disease heterogeneity, identifying novel risk signatures, and improving prediction of clinically significant outcomes such as disease progression, metastasis and prostate cancer-specific mortality.

The student will have access to unique datasets generated through the ReIMAGINE[Life] programme and will collaborate with an internationally recognised multidisciplinary team of epidemiologists, statisticians, clinicians, imaging scientists and data scientists. The project offers opportunities to contribute both methodological advances and clinically relevant discoveries that support the development of precision medicine approaches in prostate cancer.

The studentship will provide comprehensive training in cancer epidemiology, advanced statistical modelling, machine learning, risk prediction, and analysis of complex health data. The successful candidate will gain experience working with large-scale multimodal datasets and will be supported to present findings at national and international scientific conferences and publish in leading peer-reviewed journals.

• Table of Content
• About King's College London
• Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship
• Aim and Benefits of Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship
• Requirements for Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship Qualification
• Interview date, Process and Venue for Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship
• Application Deadline
• How to Apply

Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship

Aim and Benefits of Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship

• Stipend
• Tuition fee
• Bench Fees

Requirements for Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship Qualification

• Applicants should hold, or expect to obtain, a first-class or upper second-class (2:1) honours degree, or an equivalent international qualification, in statistics, biostatistics, epidemiology, mathematics, data science, computer science, bioinformatics, physics, or a related quantitative discipline. A master's degree in a relevant subject is desirable but not essential.
• Candidates should have an interest in cancer research, health data science and advanced statistical modelling. Experience in statistical programming (e.g. R or Python), machine learning, survival analysis, medical imaging, or analysis of large-scale health datasets would be advantageous.
• Open to UK residents only.
• Applicants whose first language is not English must meet King's College London's English Language Requirements for postgraduate research programmes. 

Interview date, Process and Venue for Precision Risk Stratification and Disease Progression Modelling in Prostate Cancer Using Multimodal Data from ReIMAGINE[Life] PhD Studentship

• Applications will be reviewed by the supervisory team against the eligibility criteria and the relevance of the applicant's academic background, research experience and motivation for the project.
• Shortlisted candidates will be invited to interview, where they will be assessed on their academic achievements, quantitative and analytical skills, research potential, communication skills, and suitability for the project. The final selection will be made by a panel comprising the project supervisors and relevant academic representatives from ReIMAGINE[Life].

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Application Deadline

How to Apply

For more information, kindly visit King's College London scholarship webpage.