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About us

Engineering better health

We are driven by our commitment to improve the way we deliver healthcare  through the use of  advanced engineering. ​

A diverse and talented group working across the whole MedTech sector, we advance  research, innovation and teaching progress through our shared mission of engineering better  health for patients worldwide. ​

Our state-of-the-art labs and clinical-research facilities are embedded in St Thomas’ Hospital  where we can ensure our research projects are fully aligned with current clinical practice. Long-term collaborations with global MedTech companies and new partnerships with innovative start-ups ensure  multiple pathways to translation.

Research is organised into ambitious, large-scale and long-term research projects supported by our set of six departments. This diverse infrastructure allows us  to  combine expertise and apply the latest healthcare concepts to deliver ground breaking results.   ​

We pass this integrated approach to the next generation of healthcare specialists who study with our lecturers. Courses with practical training and real-world application at their core, taking place at the UK’s most research active NHS trust. 

 

Join our team and help us change the future of healthcare

Research in the newly established Department of Surgical and Interventional Engineering within the School of Biomedical Engineering and Imaging Sciences focuses on translating novel real-time multimodal imaging modalities in conjunction with novel surgical instrumentation to clinical practice. As part of this endeavour, the GIFT-Surg (Guided Instrumentation for Fetal Therapy and Surgery) project is looking for a research software engineer to complement their highly multidisciplinary team. The post involves close and active collaboration with researchers, engineers and clinicians to identify clinical requirements and to design and develop clinical-grade software that will address those. Understanding the challenges of translating technological advancements to the clinical landscape, in particular medical device software quality management (QM) and risk mitigation processes, is an integral and essential aspect of this post. The successful candidate will design, develop and translate real-time modular software components for medical image processing, machine learning and visualisation, and also interface those with existing software and hardware components. The candidate will utilise state-of-the-art scientific software libraries; exploit the efficient computing capabilities offered by general-purpose graphics processing units (GPGPUs) and use hybrid-programming paradigms (for instance Python / C++) to balance performance and flexibility. This work will contribute to first-in-patient studies with associated high impact publications.

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We are seeking a research associate to help develop wireless endocardial optimisation system (WEOS) for cardiac resynchronization therapy (CRT) patients in a 24 month position. CRT is a treatment that aims to help heart failure patients by pacing the heart to resynchronise the electrical activation in the heart. In standard methods of CRT, the heart is paced via veins which lie on the outside of the heart. However this limits the areas that can be paced to where the veins are positioned. Wireless endocardial pacing is an exciting new technology that overcomes this limitation by allowing pacing at any site inside the heart. One of the challenges with wireless pacing is to identify the optimal locations for the pacing electrode and the power transmitter. You will be working in a leading research environment as part of the WEOS project, which aims to identify the optimal location for the pacing electrode and the power transmitter for each patient from medical images before the electrode is implanted. This system will then be used in-procedure by augmenting medical images to present the optimal location to the clinician throughout the implantation procedure. Your role involves close collaboration with biophysical modellers, clinicians, Siemens and an innovative wireless pacing company, EBR systems. Your role will involve the processing, segmentation and registration of medical images using existing software and the scripting and automation of these tasks in python or c++. As well as integration of computer imaging and modelling tools with an existing python-based Siemens clinical software package. Your position will be primarily technical and you will also be supported in attending conferences and publishing in scientific and clinical journals.

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This is an exciting opportunity for an enthusiastic software engineer with knowledge in deep learning to join the Wellcome/EPSRC Centre for Medical Engineering (CME) within an internationally leading university research School. The post-holder will be supporting researchers to develop and implement novel algorithms and pipelines for medical image processing using deep-learning and related AI approaches. The successful applicant will also be helping to promote coding best practice amongst researchers within the School and will take an active role in promoting open-source software supported by the School. The aim of this post is to further develop the School's flagship open-source deep learning platform: NiftyNet, a python package built as a TensorFlow-based framework and dedicated to medical imaging. This package is used by many users both within the School and externally. Beyond the CME, NiftyNet is also a key component of the software strategy for the newly funded London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare, where it will enable, in partnership with NVIDIA and other collaborators, the deployment of deep learning techniques within hospital environments. The successful applicant will lead on refactoring and optimisation activities and will develop novel functionalities within the framework. The post-holder will also be actively collaborating with researchers to raise the quality of their implementation up to the expected standard for dissemination and technology transfer. The software engineer will work closely with other developers within the School to develop a modular software architecture in which the deep learning platform will work in synergy with other applications. The successful candidate will have a graduate degree in computer science or a closely related field. They will be able to demonstrate good algorithmic and software development skills. They will also be able to demonstrate strong experience of TensorFlow or related libraries.

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This is an exciting opportunity for an enthusiastic software architect with knowledge of deep learning, computational modelling and computational medical imaging to join the Wellcome/EPSRC Centre for Medical Engineering within an internationally leading university research School. The aim of the project is to harmonise, design and help maintain a portfolio of research software. The successful applicant will also be helping to promote coding best practices amongst researchers within the School and will take a leading role in promoting open-source software supported by the School. The software architect will oversee the implementation of a software strategy for the School of Biomedical Engineering & Imaging Sciences at King's College London. This involves a thorough initial review of the existing software that has been developed to date, with the aim of harmonising and, where appropriate, consolidating existing software, and helping to establish best practice. It also involves integrating the current software into a common platform to reduce duplication while expanding functionalities. The successful applicant will also liaise with the other software developers and will assist them in executing the overall strategy. This role will give the successful applicant to engage in cutting edge research, in a field that requires deep understanding of software engineering. The successful candidate will have a graduate degree in computer science or a closely related field. They will be able to demonstrate good algorithmic and software development skills. They will also be able to demonstrate strong experience in compiled and interpreted programming language such as C++ and Python respectively.

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The post holder will primarily focus on delivering efficient and effective support of research at King's, providing efficient operational support to staff and students for research-related work, working closely with the School's Senior Operations Officer (Research) to provide support for research grant applications, post-award support and to provide advice and guidance and, where appropriate, training on University policies, processes and where required, source information and support for colleagues to facilitate their work The successful candidate will have a detailed understanding of research-intensive Higher Education institution, the regulatory context and best practice and excellent numeracy skills with proven financial management and analytical skills to underpin strategic financial strategic decisions and procedure. The candidate must have excellent communication, negotiation and influencing skills at all levels and the ability to maintain confidentially is also essential.

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The Robotics and Vision in Medicine Lab of the School of Biomedical Engineering and Imaging Sciences is seeking a highly organised, proactive individual to help develop imaging instrumentation to guide micro-surgical robots for regenerative therapy delivery within the human eye. This is an exciting opportunity for an enthusiastic person with experience in physics, optics, or optical systems engineering to join an internationally leading research team, and work on a project with clear emphasis on research for clinical translation and patient benefits. The goal of this post is the research and development of optical systems for safe and effective visualisation at micro-metre scale in vitreoretinal surgery. Specifically, we are interested in exploring light-field imaging based intraoperative visualisation, with the possibility to expand research on complementary research directions (e.g. OCT). The researcher will be part of a multi-disciplinary team that closely collaborates with clinicians from Moorfields Eye Hospital, and will have access to unique state-of-the-art infrastructure on Surgical and Interventional Engineering (including access to an optics lab, photoacoustics lab, and mock operating theatre).

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HR and Recruitment enquiries

For recruitment enquiries please contact our HR Manager, Sarah Jeffrey

 

 

What does research at our School look like?

We believe in a truly integrated approach to healthcare engineering, which is why our collaborative  research projects encompass everything from the development of novel imaging tracers right through to micro-robotic and artificial intelligence solutions.

A set of departments comprising physicists, chemists, biologists, engineers, computer scientists, mathematicians and clinicians, our  combined expertise allows us to see clinical challenges from all angles to develop  patient-focused solutions.  Our expert advisors support the development process at every step of the way, from proof-of-concept studies all the way to Phase III clinical trials, to ensure translation to the clinic can happen wherever possible.

From undergraduate students to patient volunteers, clinical academics to professional services, every member of the School contributes to making this vision a reality.

industry-collaboration

Please direct any post for the School to:

School of Biomedical Engineering & Imaging Sciences Rayne Institute, 4th Floor, Lambeth Wing St. Thomas' Hospital Westminster Bridge Road London SE1 7EH

St Thomas’ Campus, St Thomas’ Hospital, Westminster Bridge Road, London SE1 7EH

 

Research facilities

Research facilities

Our research is directly embedded in St Thomas' Hospital, part of the UK's most research-active NHS…

Public engagement

Public engagement

From students through to senior leadership our researchers participating in public engagement…

Our departments

Our departments

Our structure of interdisciplinary departments and centres form the framework for our School.