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The successful candidate will investigate novel statistical modelling techniques for multi-person activity recognition in health-related applications such as the analysis of social interactions. Being agnostic regarding modalities employed for behaviour observation, the new techniques will address the quantitative analysis of multi-modal data streams.
You should have either a First class honours degree in Computing Science, Mathematics, or other relevant science or engineering subject, or a or 2.1 in Computing Science, Mathematics or other relevant science or engineering subject and a distinction level Masters degree in a related subject. Equivalent experience will also be considered.
Funding Notes:
The stipend is £14,790 (2012/13) per year.
The EPSRC studentship eligibility criteria apply: http://www.epsrc.ac.uk/funding/students/pages/eligibility.aspx. Depending on how you meet the EPSRC criteria you may be entitled to a full or partial award. A full award covers tuition fees at the UK/EU rate and an annual stipend of £14790. A partial award covers fees at the UK/EU rate only. The studentship is not available for candidates from outside of the EU.
References:
You must apply through the University’s online postgraduate application form inserting the reference CS023 and selecting ‘PhD COMP’, with programme code 8050F, as the programme of study. Mandatory fields need to be completed and a covering letter, CV and (if English is not your first language) a copy of your English language qualifications must be attached. The covering letter must state the title of the studentship, quote the reference CS023 and (max. 2 pages). If you already have published research papers a list of these providing bibliographic details should be included in the covering letter.
You should send your covering letter and CV to the Postgraduate Secretary at cs.pg@ncl.ac.uk.