[visionlist] [Jobs] New Job Opportunity: Research Associate in Surgical Vision and Artificial Intelligence, Imperial College London - Deadline extension

[Giannarou, Stamatia]

Reference: MED02966
Date posted: 8 February 2022
Closing date: 9 March 2022 19 April 2022 (Deadline extension)



Applicants are invited to apply for a new vacancy at Research Associate level in Surgical Vision and Artificial Intelligence for intraoperative surgical guidance during cancer resection. 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. 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 post is 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.


Duties and responsibilities


The postholder will play a pivotal role in developing a cognitive platform for surgical navigation and in vivo, in situ tissue characterisation during neurosurgery. 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 multimodal tissue characterisation fusing cellular tissue morphology with molecular information for computer-assisted diagnosis and decision making;

  *   Functional intraoperative tissue assessment to localise functional cortical areas and maximise resection while preserving neurologic function.



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.





Essential requirements

Applicants should hold a PhD (or equivalent) in Visual Computing, Machine Learning, AI, Image Guided Interventions or a closely related discipline. 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.



Further Information



This is a Full-Time, Fixed term post for 15 months. The salary range is £41,593 – £49,210 per annum, depending on level of experience and expertise. Research will be carried out at the Hamlyn Centre laboratories in South Kensington.


Should you require any further details on the role, please contact: Dr Stamatia Giannarou - stamatia.giannarou at imperial.ac.uk


More details can be found at:

https://www.imperial.ac.uk/jobs/description/MED02966/research-associate-surgical-vision-and-artificial-intelligence


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