About the research group:

The CAI4CAI group, led by Prof Tom Vercauteren, is an academic research group focusing on Contextual Artificial Intelligence for Computer Assisted Interventions. Our engineering research aims at improving surgical and interventional sciences by exploiting learning-based approaches for multi-modal reasoning. We take a multidisciplinary, collaborative approach to solve clinical challenges. 

 

About the department:

The mission of the Department of Surgical & Interventional Engineering (SIE) within the School of Biomedical Engineering & Imaging Sciences (BMEIS) is to bring together engineering and clinical experts to develop new surgical and interventional technologies for a wide range of clinical applications with a focus on combining diagnostic information to support image-guidance during procedures. The department boasts unique world-class facilities for SIE research. Our Validation Suite is a unique combination of an Integration Room, a versatile laboratory space where researchers can setup complex novel medical systems into fully integrated platforms, and an Intervention Room, a state-of-the-art simulated operative theatre where the technology can be deployed and tested on post-mortem models in a realistic surgical environment. 

 

About the University: 

King’s College London is an internationally renowned university delivering exceptional education and world-leading research. We are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place.

 

We are seeking to recruit research software engineers to help translate the next generation of AI-assisted imaging systems for surgical guidance. The postholder, based within the Department of Surgical & Interventional Engineering at King’s College London, will play a key role in collaborative projects with King’s College Hospital. The role will involve supporting two ongoing clinical neurosurgery study. The successful candidates will join the clinical study team to help curate high-quality data. 

 

The postholders will help support data analysis tasks and work on computational algorithms to help streamline data annotation. Image computing activities involve expanding on interactive segmentation algorithms to accelerate data annotation. The recruited individuals will complement our multidisciplinary team, undertake research in computer-assisted intervention, and consolidate our existing software infrastructure. 

 

The post involves close and active collaboration with the surgical team, researchers, and engineers. The candidate will work closely with the rest of the team to correlate surgical data with other rich clinical data sources (e.g. surgical microscopy, histopathology).

 

This is a full-time post (35 hours per week), and you will be offered a fixed term contract until 30 Sep 2025.