Research Associate in Surgical Vision and Artificial Intelligence

at  Imperial College London

WHAT WE ARE LOOKING FOR

A PhD (or equivalent) in Visual Computing, Machine Learning, AI, Image Guided Interventions.

We are looking for high calibre applicants with expertise in at least a few from the following areas:

• Programming (C++, Python, etc)
• Machine Learning / AI
• Computer Vision
• Medical Image Analysis

Prior experience in medical applications and medical data processing will be an advantage.

AVAILABLE DOCUMENTS

Attached documents are available under links. Clicking a document link will initialize its download.

• Download: Employee Benefits Booklet.Pdf
• Download: Research Associate In Surgical Vision And Artificial Intelligence.Pdf

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

ABOUT THE ROLE

Applicants are invited to apply for a new vacancy at Postdoctoral Research Associate level in Surgical Vision and AI for intraoperative surgical navigation and computer-assisted diagnosis. The post is based within the Hamlyn Centre at Imperial College London and the appointed applicant will carry out research at the South Kensington laboratories and at Charing Cross Hospital. The Hamlyn Centre is dedicated to developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the future of healthcare for both developing and developed countries. The Hamlyn Centre is part of the Institute of Global Health Innovation and is supported by two stake-holding departments, Mechanical Engineering, and Surgery & Cancer.

WHAT YOU WOULD BE DOING

The post holder will play a pivotal role in developing a novel surgical platform for surgical navigation and tissue characterisation during neurosurgery. AI techniques will be used to guide surgical resection to maximise tumour removal at a cellular level whilst preserving healthy brain tissue and minimising functional deficits. To this effect, the project focuses on the integration of the following elements:

• Computer Vision and AI for intraoperative surgical navigation and Augmented Reality visualisation during cancer resection;
• Machine Learning (ML) for multimodal tissue characterisation fusing cellular tissue morphology with multispectral information for computer-assisted diagnosis and decision making;
• Functional intraoperative tissue assessment to localise functional brain areas and maximise resection while preserving neurologic function

The post is funded by the MRC DPFS project “Oncological Resection Guidance Across Scales” led by Dr Giannarou and Prof Elson. The project focuses on the novel integration of multiple imaging modalities and the development of an intraoperative vision system for surgical navigation and real-time tissue characterisation during neurosurgery. The aim is to improve both the efficacy and safety of tumour resections. A key application is the resection of high grade glioblastomas but its versatile nature makes it suitable for any cancer resection procedure. The successful applicant will be a key member of a large team of engineers, scientists and clinicians, from multiple departments of Imperial College and the NHS.
Key responsibilities include the development of a platform that integrates signals from multiple imaging modalities, including video, probe-based Confocal Laser Endomicroscopy, Multispectral Imaging and, the use of advanced Machine Learning methodologies for the analysis of the multimodal data.