<div dir="ltr"><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><p dir="ltr" style="color:rgb(0,0,0);line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;font-weight:700;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Fully funded PhD position in artificial intelligence for endoscopic image analysis @ University of Leeds, UK</span></p><br style="color:rgb(0,0,0)"><p dir="ltr" style="color:rgb(0,0,0);line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Localised 3D mapping for risk assessment and prognosis of inflammatory bowel disease </span></p><br style="color:rgb(0,0,0)"><p dir="ltr" style="color:rgb(0,0,0);line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">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. </span></p><br style="color:rgb(0,0,0)"><p dir="ltr" style="color:rgb(0,0,0);line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">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.</span></p><p dir="ltr" style="color:rgb(0,0,0);line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:12pt 0pt"><span style="font-size:11pt;font-family:Arial;font-weight:700;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Requirements: </span><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">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.</span></p><p dir="ltr" style="color:rgb(0,0,0);line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">To explore the post further or for any queries you may have, please contact: Dr Sharib Ali (</span><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><a href="mailto:s.s.ali@leeds.ac.uk" target="_blank">s.s.ali@leeds.ac.uk</a></span><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">)</span></p><br style="color:rgb(0,0,0)"><p dir="ltr" style="color:rgb(0,0,0);line-height:1.2;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:11pt;font-family:Arial;font-weight:700;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Funding on offer: </span><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">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.</span></p><p dir="ltr" style="color:rgb(0,0,0);line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;font-weight:700;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Application deadline: </span><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">30th September 2022</span></p><br style="color:rgb(0,0,0)"><p dir="ltr" style="color:rgb(0,0,0);line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;font-weight:700;font-variant-ligatures:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">See more details here (how to apply): </span><a href="https://phd.leeds.ac.uk/project/1363-localised-3d-mapping-for-risk-assessment-and-prognosis-of-inflammatory-bowel-disease" target="_blank" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;font-variant-ligatures:normal;font-variant-east-asian:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://phd.leeds.ac.uk/project/1363-localised-3d-mapping-for-risk-assessment-and-prognosis-of-inflammatory-bowel-disease</span></a></p></div></div></div></div></div></div></div></div></div>