Back to search results

Research Associate or Fellow in Real-time AI for Surgical Robot Control

King's College London - School of Biomedical Engineering & Imaging Sciences

Location: London
Salary: £38,826 to £50,919 Grade 6/7 per annum, including London Weighting Allowance
Hours: Full Time, Part Time
Contract Type: Fixed-Term/Contract
Placed On: 13th September 2021
Closes: 10th October 2021
Job Ref: 031886
 

Salary: Grade 6, £38,826 - £45,649 or Grade 7, £46,934 - £50,919 per annum, including London Weighting Allowance

Campus: St. Thomas’ Hospital

Contact: Tom Vercauteren tom.vercauteren@kcl.ac.uk

Job description

We are seeking a highly motivated individual to join us and work on FAROS, a European research project dedicated to advancing Functionally Accurate RObotic Surgery, https://h2020faros.eu, in collaboration with KU Leuven, Sorbonne University, Balgrist Hospital and SpineGuard.

Functional accuracy is defined as the degree to which the functional outcome of surgery conforms to the expected value for a successful complication-free operation. FAROS aims at improving functional accuracy through embedding physical intelligence in surgical robotics.

Within the FAROS consortium, research in the Department of Surgical & Interventional Engineering within the School of Biomedical Engineering & Imaging Sciences focuses on developing technology for novel image-guided interventions. Deep machine learning is being developed to interpret intraoperative data and link assembled knowledge to autonomously execute surgical actions at operating rates far beyond human response capabilities.

Key activities relate to real-time processing of hyperspectral imaging and its integration in complex robotic systems. The recruited individual will complement our multidisciplinary team and undertake research on machine learning, artificial intelligence and visual servo control of robotically controlled surgical instruments.

The post involves close and active collaboration with researchers, engineers and clinicians. Working with established platforms and building on the software and mechatronics infrastructure already present within our teams if of paramount importance to ensure project cohesion and strong links with the members of the consortium.

The successful candidate will design, develop and translate real-time modular software components for medical data processing, machine learning and visualisation, and also interface those with existing software and hardware components. Specifically, the candidate will develop algorithms that identify and track key anatomical landmarks, and autonomously guide the robot to maximise the informativeness of the captured data (active sensing). The candidate will integrate their developed software with the consortium’s surgical robots.

This post will be offered on an a fixed-term contract for 24 months (latest end date 31/12/2023)

This can be a full-time or part-time post – 50-100% full time equivalent

Key responsibilities

Develop, validate and integrate real-time algorithms for computer-assisted intervention (CAI)

Contribute to project management tasks

Maintain accurate and up-to date technical and user documentation of the delivered software

Contribute to the dissemination of the research through publications, open-source software and public engagement activities

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs from King's College London

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge