It is intended that this studentship is part of a newly established partnership between the University of Manchester and the BBC R&D. BBC R&D is setting up a multi-university research partnership in Data Science; the University of Manchester is expected to be a partner in this initiative.
Supervisor team: John Keane (SCS), Caroline Jay (SCS), Andy Brown (BBC).
Understanding the Audience through low-level Interaction Data, will span data science / machine learning and empirical interaction science to measure the enjoyment / engagement of people when using online or broadcast media. By an analysis of appropriate large sets of interaction variables derived from human use of instrumented software and other data sources, the student will develop and evaluate models of behaviour that indicate the extent to which a user experience is successful.
The University of Manchester boasts one of the most innovative and successful schools of computer science in the world. Manchester saw the birth of computer science, with the creation of the world’s first stored-program computer. We continue to work on pioneering research with particular and widespread activity and strength in data science.
The School of Computer Science was ranked in the top 5% in the UK (4th out of 89 submissions) based on GPA for Computer Science and Informatics in REF2014, the most recent UK research assessment. REF2014 also assessed that The University of Manchester is the best environment in the UK for computer science and informatics research, with 94% of our research being classed as "world-leading" (4*) or "internationally excellent" (3*). All our "impact" case studies were ranked 3* and 4*, which puts us joint-top for research impact.
Applicants should have or expect to obtain a BSc 1st Class or MSc with Distinction in computer science or a related discipline and have good data analysis, user experience and programming skills. Applicants must also have British citizenship or be a permanent resident and have lived in the UK for the last 3 years.
Informal enquiries should be made to John Keane ([email protected]
). Further information on how to apply can be found at: http://www.cs.manchester.ac.uk/study/postgraduate-research/programmes/phd/apply/. Please ensure that when submitting an application you include all the required supporting documentation.
Further information on Industrial CASE awards along with student eligibility can be found at: https://www.epsrc.ac.uk/skills/students/coll/icase/intro/.
Keywords: Data Science, Data Analytics, Empirical interaction Science, User Experience, Behavioural Models.
Applications are invited for this fully funded (tuition fees plus a stipend equal to the standard RCUK rate for 2017-8 (£14,553) with planned yearly increases; this will be topped-up by an additional approx. £5K per year), full-time, 4 year PhD EPSRC iCASE studentship, to start in September 2017 or as soon as appropriate.