Research Assistant in Surgical Robot Vision

at  Imperial College London

WHAT WE ARE LOOKING FOR

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: Research Assistant 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.
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 3 new vacancies at Research Assistant level in Surgical Vision and Artificial Intelligence for intraoperative surgical guidance during cancer resection. The posts are based within the Hamlyn Centre at Imperial College London and the appointed applicants will carry out research at the South Kensington laboratories. 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.

The postholders will play a pivotal role in developing a cognitive platform for surgical navigation and in vivo, in situ tissue characterisation during robot-assisted operations. This platform will enable accurate and highly personalised tissue characterisation with the aim of improving both the efficacy and safety of tumour resections. To this effect, the project focuses on the integration of the following elements:

• Computer Vision and Artificial Intelligence (AI) for intraoperative surgical navigation and Augmented Reality visualisation during robotic-assisted cancer resection;
• Machine Learning (ML) for tissue characterisation based on cellular tissue morphology for computer-assisted diagnosis and decision making.

The posts are funded by the Royal Society University Research Fellowship “GENIUS: Guidance for cancer resection with artificial intelligence and surgical vision” led by Dr Giannarou. The fellowship focuses on the development of an intraoperative vision system for surgical navigation and real-time tissue characterisation during robotic-assisted neurosurgery to improve both the efficacy and safety of tumour resections. A key application is the resection of glioblastoma multiforme (GBM) 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 and sensing modalities, including video, probe-based Confocal Laser Endomicroscopy, Mass Spectrometry and electrophysiological data and, the use of advanced Machine Learning methodologies for the analysis of the multimodal data.

WHAT YOU WOULD BE DOING

Key responsibilities include the development of a platform that integrates signals from multiple imaging and sensing modalities, including video and probe-based Confocal Laser Endomicroscopy, and the use of advanced Machine Learning methodologies for the analysis of the multimodal data.