Wageningen University are looking for a PhD student who will employ
advanced geo-statistical methods to optimise sampling designs used in
integrated catchment water quality modelling. Hydrologic and hydraulic
models require input data and data for parameter calibration and
validation. Data collection can be costly and must therefore be
optimised to gain maximum information for a given budget. This PhD
research will optimise sampling designs in space and time using
statistical tools from spatial uncertainty propagation analysis,
statistical sampling theory and Bayesian calibration. Various sampling
design optimisation techniques will be developed and tested, by making a
trade-off between the cost of data collection and model output accuracy.
Testing and validation is done for a Soil Water Assessment Tool applied
to a catchment in Luxembourg and for minimisation of spatial and
temporal rainfall estimation errors using radar data and rain gauges for
a study area in the UK.
This research is part of the EU-funded Marie Curie Initial Training
Network project 'QUICS' (Grant agreement number 607000), in which
partners from various universities, research institutes and commercial
enterprises across Europe join forces to improve water quality
management by assessing the uncertainty of integrated catchment model
water quality predictions. The project involves twelve PhD students and
For the full advertisement, see
close 1st April. Please pass on to anybody who may be interested.
Dr. Will Shepherd
Pennine Water Group
Dept of Civil and Structural Engineering
University of Sheffield
Mappin St., Sheffield, S1 3JD.
tel: +44 (0)114 2225732
mob: +44 (0)7977 141885
fax: +44 (0)114 2225700
email: [log in to unmask]
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