University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
EPSRC INDUSTRIAL CASE STUDENTSHIP (PhD - up to 3.5 years funding)
(In partnership with Unilever R&D Port Sunlight)
Stochastic Modelling of Spatial-Temporal Data for Product Testing and Design
Applications are invited from UK/EU candidates for PhD research on the
above project, commencing 1 October 2005. Candidates should have, or
expect to obtain, a good Honours/Masters degree in Statistics,
Mathematics or a related field. The funding covers all tuition fees,
and includes annual maintenance payments to the student in the form of
an EPSRC stipend payable to UK candidates (£12000 in 2005/6 and rising
in later years) plus a contribution of £3000 per annum from the
industrial partner, Unilever Research. Note that non-British EU
nationals may apply for a 'fees-only' award.
Tracking in time and space of personal care products as they are used by
consumers is an important area of current research at Unilever R & D
Port Sunlight. An example is the tracking of a toothbrush as it
cleans teeth. The research project will apply time series
methods to the tracking data in order to describe the teeth cleaning
process. The models will then be related to the design of toothbrushes
and instructions to consumers in order to improve oral health.
The project will be innovative both in the development of the
models and in their applications.
The student will be based in the Division of Statistics and
Probability, Department of Mathematical Sciences,
University of Liverpool, but will have opportunities to spend extended
periods of time at the laboratories of Unilever R & D Port Sunlight, Bebington,
which is located about seven miles from the University of Liverpool.
Supervisors for the project will be Professor R. J. Bhansali
(Liverpool University) and Professor Trevor Cox (Unilever).
Division of Statistics and Probability at Liverpool University is
recognised internationally for its research in Time Series Analysis, and
has active collaborative links with several different research groups
internationally. In addition, under the auspices of
Centre for Time Series and Forecasting, there are links too with
other groups within the University with research in Time Series
Analysis. The division fosters a stimulating and active research
environment and funds are available for attending conferences and
relevant scientific meetings.
For further information and an application form please contact Raj
Bhansali, e-mail: [log in to unmask], Tel.: + 44 (0) 151 794 4758.
Informal enquiries are encouraged.
Closing Date for Applications: 31st May 2005.
University of Liverpool is an equal opportunity employer.
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