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Research Associate in Sensing and Machine Learning
Role title: Research Associate in Sensing and Machine Learning
Location: The Hamlyn Centre for Robotic Surgery in association with the Department of Surgery & Cancer, Faculty of Medicine
Term & Duration: Full-Time, Fixed term for 12 months initially, with scope to be extended
Salary: £41,593 – £49,210 per annum
Job listing informationReference: MED02860
Date posted: 29 November 2021
Closing date: 5 January 2022
Brief Description of the Role:
Applicants are invited to apply for a new vacancy at Postdoctoral Research Associate level in Sensing and Machine Learning for the next generation of Smart Operating Theatres. 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 St. Mary’s Hospital Surgical Innovation Centre. 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 postholder will play a pivotal role in developing an AI-driven framework that aims to hardwire operating theatres for optimised safety, efficacy, and improved patient outcomes. To this effect, the project focuses on the integration of the following elements:
- Holistic sensing of patient, surgical team, operating theatre space and equipment, with an emphasis on endoscopic, wearable and distributed sensing;
- AI for perception and cognition through data fusion from multiple sensors;
- Robotics and allied technologies leveraged by perceptual user interfaces for augmenting task performance;
- An open multipoint-to-multipoint communication and device interoperability platform, to allow full integration of all above key elements.
The Postdoctoral Research Associate in Sensing and Machine Learning role is part of an EPSRC Transformative Healthcare Technologies program, led by Dr Mylonas. The program focusses on the use of a very diverse selection of sensing modalities and AI inside the operating theatre, with a goal to improve surgical practice and patient outcomes. The successful applicant will be a key member of a large team of engineers, scientists and clinicians, from multiple departments, universities and organisation (Imperial College, Oxford Brooks, NHS, EAES and others). The project also enjoys the support of global commercial organisations.
Duties and responsibilities
Key responsibilities include the development of a platform that integrates signals from multiple and diverse sensing modalities, including video, depth cameras, wearable sensors, brain interfaces, and the use of advanced ML methodologies for analysis of said signals. In addition, the postholder will be expected to contribute to other aspects of the research and in different roles that may be outside of their core expertise and at the boundaries between clinical and engineering teams, for example by helping with annotation and analysis of large multi-format datasets.
The ideal candidate has a PhD (or equivalent) in Electronic Engineering, Computer Science, Biomedical Engineering or closely related discipline, and is expected to have expertise in at least a few from the following areas:
- Programming (C++, Python, etc)
- Machine learning / AI
- Signal Processing
- Computer vision
- Sensors (wearable and others)
Prior experience in clinical engineering projects and environments, surgical technologies and their in vivo deployment will be an advantage.
This is a Full-Time, Fixed term post for 12 months initially, with scope to be extended. The salary range is £41,593 – £49,210 per annum, depending on level of experience and expertise. Research is carried out in two sites: the Hamlyn Centre laboratories in South Kensington and the Surgical Innovation Centre at St. Mary’s Hospital, London.
Should you require any further details on the role please contact: Dr George Mylonas – firstname.lastname@example.org
For technical issues when applying online please email email@example.com
Supported by the Hamlyn Endowment Fund and research grants from our funding bodies and industrial partners, we are always interested in providing positions for talented researchers in imaging, sensing and robotics. The Centre aims to attract the brightest students from around the world, drawn by the unique opportunities offered within the Centre’s multidisciplinary environment and state-of-the-art facilities.
In addition to the PhD Studentships advertised for specific research projects, we also support applicants for the following fellowships to work within the centre:
Please contact Marianne Knight if you want to discuss specific details about any of the fellowships listed above.