[visionlist] Fully funded PhD position in artificial intelligence for endoscopic image analysis @ University of Leeds, UK

[sharib ali]

Fully funded PhD position in artificial intelligence for endoscopic image
analysis @ University of Leeds, UK

Localised 3D mapping for risk assessment and prognosis of inflammatory
bowel disease

Inflammatory Bowel Disease (IBD) is characterised by symptomatic relapse
and remission, requiring frequent endoscopic surveillance and risk
monitoring through lesion and dysplasia identification. Monitoring and
assessing disease progression and measuring response to drug therapy is
critical in effective management of IBD. The project will aim at developing
deep learning methods for - a) quantifying severity of IBD based on
clinically established scoring systems and b) longitudinal comparison using
localised 3D maps. Leeds Teaching Hospitals NHS Trust is one of the major
centres in colorectal cancer imaging in the UK and has also been developing
several cutting-edge technologies towards robotic interventions unlike
conventional endoscopy. The successful candidate will work in an exciting
multi-disciplinary environment with access to large multi-modal patient
data cohorts.

The study aims at performing multi-center studies and publishing
high-impact scientific and clinical papers. The work will be aimed for
clinical translation by the end of the PhD. The project will be supervised
by Dr. Sharib Ali (computational endoscopic imaging/machine learning), and
co-supervised by Dr. Venkat Subramanian (consultant gastroenterologist) and
Prof. Andy Bulpitt (computational pathology/machine learning). There will
also be the possibility of working together with other national and
international collaborators.

Requirements: Applicants must be of outstanding academic merit, with (or be
expected to gain) either a first class or an upper second class Honours
Degree (or the international equivalent), or an MSc/MRes with distinction.
Enthusiastic and self-motivated candidates with a background in either
Computer Science, Engineering, Physics or Mathematics or a related
discipline are encouraged to apply. Good knowledge and demonstrable
experience in imaging, medical imaging, computer vision, machine
learning/deep learning is advantageous. Strong skills and interest in
programming using python, C/C++; using deep learning libraries such
Pytorch, Tensorflor, and other computer vision libraries such as OpenCV,
Open3D, Blender are a plus.

To explore the post further or for any queries you may have, please
contact: Dr Sharib Ali (s.s.ali at leeds.ac.uk)

Funding on offer: A highly competitive School of Computing Scholarship
covering full Academic Fees at the UK Fee rate of £4,600 or International
Fee rate of £25,500 together with a Maintenance grant of £16,062 for
academic session 2022/23 per year for 3 years.

Application deadline: 30th September 2022

See more details here (how to apply):
https://phd.leeds.ac.uk/project/1363-localised-3d-mapping-for-risk-assessment-and-prognosis-of-inflammatory-bowel-disease
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