Research Fellow in Computer Vision for Multimodal Medical Imaging

Key Skills

Algorithms, Computer Vision (CV), Project management

Job Description

The project is aimed at understanding how multimodal data integration can improve the clinical outcome and help prognose inflammatory bowel disease stages for patient risk stratification. The selected candidate will work with endoscopic and whole-slide imaging (WSI) data. They will work on developing novel computer vision methods to improve decision making. The project will provide an opportunity to collaboratively work with computational scientists, pathologists and clinical experts exploring novel ways to transform research and practice in early cancer detection.

 The project is initially intended to develop state-of-the-art methods separately on WSI and endoscopy and then combining these to explore the possibility of improving outcomes. These algorithms will then be used to develop a prognosis platform. You will investigate different approaches and find novel ways to improve the current limitations in this field.

 You will be a leading researcher in Dr Sharib Ali’s group focusing on computer vision methods for medicine and surgery. You will have the opportunity to collaborate with other academics and clinical team form Leeds Teaching Hospital NHS Trust to develop and test the system.

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, Lecturer (Assistant 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 plus life assurance – the University contributes 14.5% of salary.
• 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!