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Research Fellow in Quantum Technology for Endoscopic and Surgical Image Analysis

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 (https://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.


What we offer in return

  • 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
  • Generous pension scheme options plus life assurance. 
  • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more! 

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Job Details
Location
Leeds - Main Campus
Faculty/Service
Faculty of Engineering & Physical Sciences
School/Institute
School of Computer Science
Category
Research
Grade
Grade 7
Salary
£41,064 to £48,822 p.a.
Due to funding restrictions, an appointment will not be made higher than £41,064 p.a.
Working Time
37.5 hours per week
Post Type
Full Time
Contract Type
Fixed Term (starting from 01 October 2026 until 31 March 2027 - to complete specific time limited work)
Release Date
Thursday 27 August 2026
Closing Date
Sunday 06 September 2026
Reference
EPSCP1186
Downloads
Candidate Brief (PDF)
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