PhD Studentship - Image Guided Intervention Supported with mixed Reality

University of Leeds - Faculty of Engineering and Physical Sciences - Computer Science

Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds

Eligibility: UK and International

Funding: School of Computer Science Studentship, providing the award of full academic fees, together with a tax-free maintenance grant at the standard UKRI rate of £21,805 per year for 3.5 years. 

Lead Supervisor’s full name & email address
Dr Sharib Ali: s.s.ali@leeds.ac.uk

Co-supervisor’s full name & email address
Dr Rafael Kuffner dos Anjos: r.kuffnerdosanjos@leeds.ac.uk
Dr Shahid Farid (Clinical – External)

Project summary

The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans to create 3D models of organs and intra-operative surgical videos. The candidate will develop surgical planning and implement new technologies for its integration as VR/AR assistive platform. The research directions will be adapted based on the progress and consultation with clinical colleagues and supervisor, ensuring impactful outputs. The candidate will have opportunity to collaboratively work with computational scientists and surgeons exploring novel ways to transform research and practice in surgical care.

Please feel free to contact the main supervisor informally with your CV and a short list of interests for a discussion.

Please state your entry requirements plus any necessary or desired background

A first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics.

Subject Area

Medical imaging, biomedical engineering, computer science & IT