The postholder will join the School of Biomedical Engineering & Imaging Sciences at King’s College London to contribute to a three-year Prostate Cancer UK–funded project aimed at transforming active surveillance for prostate cancer. 

 

The School of Biomedical Engineering & Imaging Sciences at King’s College London provides a cutting-edge research environment dedicated to the development, clinical translation, and application of medical imaging and computational modelling technologies. It offers an exciting opportunity to conduct truly translational research, spanning from basic science to clinical practice. 

 

Working at the intersection of artificial intelligence, medical imaging, and clinical data science, the researcher will play a central role in developing and validating innovative AI-driven clinical decision-support systems. Embedded within a multidisciplinary team of computer scientists, clinicians, and imaging specialists, the postholder will help integrate multimodal data into robust tools that improve patient selection, disease monitoring, and personalised surveillance strategies, directly supporting King’s mission to deliver world-leading translational research in precision medicine.

 

This position is an exciting opportunity for an enthusiastic machine learning researcher to push the boundaries of multimodal-AI by developing new models that incorporate data across several modalities, including imaging, text, social and clinical data.

 

The postholder will design and develop new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic developments such as using unsupervised and self-supervised learning methods for data synchronisation, feature extraction and selection, and multimodal information fusion to leverage the complementary nature of different modalities effectively.

 

This is a full time post (35 Hours per week), and you will be offered a fixed term contract for 2 years