King's College London

About Us

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. 

About The Role

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

About You

To be successful in this role, we are looking for candidates to have the following skills and experience: 

Essential criteria

1. PhD qualified in Mathematics, Physics, Engineering or Computer science or near completion*** 
2. Experience in language computer programming (Python) 
3. General experience in machine learning/deep learning (vision, structured data, NLP) 
4. Working with image analysis and machine/deep learning libraries and software packages (SciKit Learn, PyTorch, MONAI, …) 
5. Methodology development for image analysis and machine/deep learning  
6. Scientific Writing  
7. Ability to work calmly under pressure and act on initiative

Desirable criteria

1. Project management  
2. Experience in clinical and industrial translation of research 
3. Independent and interdisciplinary researcher  

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. 

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.