Research Scientist in Surgical Vision and AI

1 week ago


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

Imperial College London is seeking a highly skilled Research Associate to join its Hamlyn Centre, a world-leading institution dedicated to developing innovative imaging, sensing, and robotics technologies for healthcare. 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, machine learning for multimodal tissue characterisation, and functional intraoperative tissue assessment. The post holder will work closely with a large team of engineers, scientists, and clinicians to develop a platform that integrates signals from multiple imaging modalities, including video, probe-based Confocal Laser Endomicroscopy, and Multispectral Imaging.

Key responsibilities include the development of advanced machine learning methodologies for the analysis of multimodal data and the integration of these techniques with computer vision and AI. A PhD (or equivalent) in Visual Computing, Machine Learning, AI, or a related field is required. Prior experience in medical applications and medical data processing is an advantage.

The successful candidate will benefit from a sector-leading salary and remuneration package, including 39 days off a year and generous pension schemes. They will also have access to a range of workplace benefits, including a flexible working policy, generous family leave packages, and on-site leisure facilities.

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 successful candidate will be part of a diverse, inclusive, and collaborative work culture with various resources designed to support their personal and professional development.

Key Responsibilities:

  • Develop a platform that integrates signals from multiple imaging modalities
  • Develop advanced machine learning methodologies for the analysis of multimodal data
  • Integrate computer vision and AI techniques with machine learning

Requirements:

  • PhD (or equivalent) in Visual Computing, Machine Learning, AI, or a related field
  • Prior experience in medical applications and medical data processing is an advantage


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