CASE PhD Studentship Opportunity
A fully funded PhD studentship is available in the Computational Biology & Bioimaging (COMBI) research group under the supervision of Dr Nasir Rajpoot (Computer Science) and Prof Ian Cree (Warwick Medical School).
Project Synopsis: This PhD research project, jointly funded by EPSRC and GE Healthcare, is titled Computer-Assisted Assessment of Digital Pathology Slides and is concerned with developing algorithms for modelling and analysis of morphological patterns in multi-gigapixel microscopic images of human tissue with applications to computer-assisted assessment and grading of digital pathology images. Part of the research may involve extending a patent-pending technology to a real-world clinical setting. The project is partly funded by GE Healthcare, the largest manufacturer of medical imaging devices worldwide, and will involve active collaboration with Dr David Snead, Head of Pathology at the University Hospitals Coventry & Warwickshire (UHCW) and GE Omnyx teams at UHCW and in Pittsburgh, USA.
Candidate Profile: We are looking for a highly self-motivated individual having a strong background in mathematics and statistics and with excellent programming skills. You should possess or be expecting to receive (before October 2012) preferably a first class or at least an upper-second class honours degree in computer science, electrical engineering, mathematics or a related discipline. An MSc in an area related to image analysis, machine learning, or pattern recognition is highly desirable but not essential.
Student Eligibility: Candidates must meet the following eligibility criteria:
- British nationals who have lived in the UK all their lives are eligible, or
- Non-British nationals who have settled status AND have been resident in the UK for 3 years immediately prior to the date of the start of the course, or
- EU nationals who have been ordinarily resident in the UK and Islands for three years immediately prior to the date of start of the course.
Award Details: The studentship covers a tax-free stipend of approximately £20K per year for 3.5 years and the university tuition fees. Financial support is also available for conference travel and consumables.
How to Apply: If you are interested in applying for this position, please send your CV including contact details of at least two referees to Ms Sharon Hayes (firstname.lastname@example.org) by the 25th of June, 2012. Please clearly state your motivation to work on this project and highlight any achievements (eg, academic grades, any other awards etc) and any relevant research interests in the covering email. Please contact Dr Nasir Rajpoot (email@example.com) if you require any further information or have any related queries.