Research Fellow in Quantum Technology for Endoscopic and Surgical Image Analysis

Location: Leeds - Main Campus

Working time: 37.5 hours per week

Contract type: Fixed term (starting from 1^st October 2026 until 31^st March 2027 - to complete specific time limited work)

Downloads: Candidate Brief (PDF)

Are you an aspiring researcher willing to contribute towards digital transformation of healthcare benefitting patients by making the clinical interventions informed, safer, faster and effective?

The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue surveillance for endoscopic and surgical planning and decision making. The project will provide an opportunity to collaboratively work with physicists, computer scientists, clinical team and industry exploring novel ways to transform research and practice in screening and surgical care. Our research is generously funded by the ACF Engineering and Physical Sciences Research Council (EPSRC) via UK Quantum Technology Research Hub in Sensing, Imaging and Timing (QuSIT).

We are seeking a Research Fellow to join our team and lead the research efforts in real-time and highly accurate preoperative-to-intraoperative fusion challenges in surgery tackling vision ambiguity and occlusions and other surgical complications.

The successful candidate will be responsible for developing novel ways to tackle such challenges and in setting up experiments with controlled robotic arm and various sensors for understanding the underlying principles on phantom models. You will be a leading researcher in Dr Sharib Ali’s AI in Medicine and Surgery group (artificial-intelligence.leeds.ac.uk/aims). You will have the opportunity to collaborate with other academics at Leeds and University of Glasgow and clinical team (Dr Venkat Subramanian, Leeds Teaching Hospital NHS Trust) to develop, and test developed systems.

We are open to discussing flexible working arrangements.

To explore the post further or for any queries you may have, please contact: 

Dr Sharib Ali, Associate Professor

Email: S.S.Ali@leeds.ac.uk

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.

Advert information