3-year, fully funded PhD Scholarship opportunity in Computer Science!
Project Title: Clinical Decision Support System for Skin Monitoring and Melanoma Detection using Machine Learning
Here is an exciting opportunity to study Machine Learning and Advanced Image Processing which could lead to entirely new approaches in skin monitoring and melanoma detection.
This is a fully funded PhD scholarship including a generous stipend and tuition fees, with well-resourced circumstances for a successful scholarship.
The selected candidate will apply their computer science and programming skills and ambition to create a clinical decision support system for the early recognition and treatment of malignant lesions on the basis of evaluations of clinical parameters.
This multidisciplinary project will allow the student to develop transferable knowledge and skills in this most exciting and active field of Machine Learning research.
This project will be held in the Faculty of Computing, Engineering and Science at the University of South Wales in collaboration with the REU Clinical Bioinformatics team,
Cardiff and Vale University Health Board headed by Professor Colin Gibson
and the Institute of Dermatology, University Hospital of Wales, Cardiff represented by Dr Richard Motley
Dr Motley is the Chairman of the Speciality Training Committee for Dermatology in Wales, which oversees the training of Dermatologists in Wales and he has pioneered the teledermatology service in Cardiff.
The project would provide a student with an opportunity to access an anonymised database containing thousands of clinical datasets with medical diagnoses and
descriptive information given by a group of expert dermatologists.
This technology has the potential to drive improvements in health and well-being of patients by enabling more accurate skin monitoring and diagnosis.
Programme of research:
Diagnostic models have been studied in several medical disciplines to improve quality of patient care.
However, recent advances in Machine Learning and Knowledge Based Systems combined with dramatic improvement in
computer processing power available at low cost have opened new avenues for improvement in personalized learning and diagnosis systems.
PhD student will investigate the feasibility of developing a diagnostic system that
would exploit knowledge and skills specific of each physician and enable the sharing of experts’ clinical experience.
Such a software tool should support the early recognition and treatment of malignant lesions on the basis of evaluations of clinical parameters.
The novel approach involves creating a model tailored to each physician, combining the human expertise with computer analysis.
The obtained results should outperform standard image processing approaches in early recognition of malignant lesions.
Studentship:
The studentship will cover the fees for a 3-year full-time PhD programme and pay a stipend of circa £14.777 p.a.
Eligibility of Student:
Home/EU graduates are eligible to apply. Applicants should hold a first-class or upper second class degree in a computing-related area.
The closing date for applications is 25th June 2018 .
Interviews will be held in July 2018. Expected start date: 1st October 2018.
Application Process:
Please visit: next-step and select the MPhil / PhD (Computing) option (indicating the department name)
when applying through the online portal.
Applicants should include in the personal statement that the application is for a PhD in Computer Science.
Applicants should submit a research proposal outlining the research questions, relevant previous work,
methods and timeframe for completion of the research.
Proposals should clearly explain the original contribution to knowledge.
Advice on preparing an application can be found here:
information-applicant
For informal enquiries or further programme information, please contact: Dr Janusz Kulon (Director of Studies)