|Salary:||£36,770 to £44,388 UCL Grade 7, per annum, inclusive of London Allowance.|
|Placed On:||23rd December 2021|
|Closes:||6th February 2022|
We are excited to announce a EPSRC funded project to develop a new platform for Augmented Reality (AR) endonasal surgery, powered by Artificial Intelligence (AI). Our vision is to develop an AR system that is more accurate than current methods, that automatically adapts to the surgical scene and is designed from the ground up to be easier to use in the operating theatre.
We are looking to hire outstanding researchers to join a multidisciplinary team of clinicians and engineers at the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) at University College London (UCL). We need expertise in Human Computer Interaction, Computer Vision, AI and AR to bring this vision to life, and deliver a clinical prototype. These roles would be an excellent opportunity for researchers interested in machine learning, image-guidance, image registration, surgical workflow recognition, HCI and the application of engineering to surgical interventions in general.
Main duties and responsibilities include designing, implementing and testing, novel, software-based algorithms for surgical workflow recognition, image segmentation and classification and other algorithms as needed for a complete AR system and preparing progress reports on research for funding bodies as required.
This post is funded for 2 years in the first instance.
PhD degree, or equivalent experience in an appropriate subject. Publications as first or last author in peer-reviewed international academic journals on topics within the scope of the job description. Software engineering ability (e.g. Python/C++, Pytorch, Tensorflow). Commitment to methodological and/or translational research.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.
If you have any queries regarding the vacancy or the application process, please contact Stoyanov, Danail, email@example.com.
Latest time for the submission of applications: 23:59.
Interview Date: TBC
UCL Taking Action for Equality
We will consider applications to work on a part-time, flexible and job share basis wherever possible.
Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.
Type / Role: