Research Fellow in Computer Vision for Multimodal Medical Imaging

Are you a researcher interested in developing cutting edge Artificial Intelligence systems for healthcare? Are you an aspiring researcher willing to contribute towards digital transformation of healthcare benefitting patients by integrating multimodal data for improving patient risk stratification and early cancer detection?

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.

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