Research Scientist in Surgical Vision and AI

4 weeks ago


London, Greater London, United Kingdom Imperial College London Full time

Imperial College London is seeking a highly skilled Research Associate to join our team at the Hamlyn Centre. The successful candidate will play a pivotal role in developing a novel surgical platform for surgical navigation and tissue characterisation during neurosurgery.

The project focuses on the integration of computer vision and AI for intraoperative surgical navigation and Augmented Reality visualisation during cancer resection, machine learning for multimodal tissue characterisation, and functional intraoperative tissue assessment to localise functional brain areas.

The post is funded by the MRC DPFS project "Oncological Resection Guidance Across Scales" led by Dr Giannarou and Prof Elson. 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.

The key responsibilities of the post 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.

The ideal candidate will have a PhD (or equivalent) in Visual Computing, Machine Learning, AI, Image Guided Interventions, and expertise in at least a few areas including programming, machine learning, computer vision, and medical image analysis.

The successful candidate will have the opportunity to work on a cutting-edge project, collaborate with a diverse team, and contribute to the development of innovative technologies for healthcare.

Key Requirements:

  • PhD (or equivalent) in Visual Computing, Machine Learning, AI, Image Guided Interventions
  • Expertise in programming, machine learning, computer vision, and medical image analysis
  • Experience in medical applications and medical data processing

What We Offer:

  • A competitive salary and remuneration package
  • A range of workplace benefits including flexible working, generous family leave packages, and on-site leisure facilities
  • The opportunity to work on a cutting-edge project and contribute to the development of innovative technologies for healthcare


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