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Join date : 2009-10-21 
PhD Research Studentship in Environmental Statistics @ University of Glasgow
Wed 16 Feb 2011 - 8:36
School of Mathematics and Statistics, University of Glasgow
PhD Research Studentship in Environmental Statistics
Spatiotemporal Modelling of Hydrological Catchments
The stipend will track the EPSRC rates and home/EU fees (academic year 2010-11 minimum stipend £13,590)
This is an exciting fully funded opportunity in Environmental Statistics for someone with a 1st or 2:1 degree in Statistics or another highly quantitative subject (e.g. Mathematics).
Regulatory bodies, such as the Environment Agency (EA) of England and Wales and the Scottish Environment Protection Agency (SEPA), regularly monitor river surface water. The purpose of this is to assess the levels of nutrients etc. in the water to report levels to Europe and also to address how to reduce such levels, if necessary, to meet European standards.
River monitoring locations are contained in small waterbodies, which are the standard surface water reporting units for the Water Framework Directive (WFD, European Parliament; 2000). A collection of waterbodies, covering a river network, are contained in a large hydrological area (LHA), and each LHA contains an independent river network. This project will develop spatiotemporal hierarchical models for such data incorporating different levels of spatial
correlation within and between catchments and contributory catchment information.
There are several statistical challenges associated with such modelling including incorporating space-time interactions and space-time covariance structures. The overall data dimensionality for such problems is large. However, at particular monitoring locations data can be sparse in space and/or time. Monitoring locations along rivers are flow-connected with models requiring catchment information and river network covariance structures.
Candidates should have good statistical programming skills and an interest in Environmental Statistics.
The successful student will be supervised by Dr Claire Miller (nee Ferguson) and Professor Marian Scott in Statistics at the University of Glasgow. Both supervisors have strong connections with the EA and SEPA and this project is motivated by collaborations with both agencies.
If you require any further information please contact Dr Claire Miller (nee Ferguson) (Claire.Ferguson@glasgow.ac.uk), Tel 0141 330 5023 or Prof. Marian Scott (Marian.Scott@glasgow.ac.uk), Tel 0141 330 5125.
Details of how to apply for postgraduate research at the University of Glasgow are available at the website below:
http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/
PhD Research Studentship in Environmental Statistics
Spatiotemporal Modelling of Hydrological Catchments
The stipend will track the EPSRC rates and home/EU fees (academic year 2010-11 minimum stipend £13,590)
This is an exciting fully funded opportunity in Environmental Statistics for someone with a 1st or 2:1 degree in Statistics or another highly quantitative subject (e.g. Mathematics).
Regulatory bodies, such as the Environment Agency (EA) of England and Wales and the Scottish Environment Protection Agency (SEPA), regularly monitor river surface water. The purpose of this is to assess the levels of nutrients etc. in the water to report levels to Europe and also to address how to reduce such levels, if necessary, to meet European standards.
River monitoring locations are contained in small waterbodies, which are the standard surface water reporting units for the Water Framework Directive (WFD, European Parliament; 2000). A collection of waterbodies, covering a river network, are contained in a large hydrological area (LHA), and each LHA contains an independent river network. This project will develop spatiotemporal hierarchical models for such data incorporating different levels of spatial
correlation within and between catchments and contributory catchment information.
There are several statistical challenges associated with such modelling including incorporating space-time interactions and space-time covariance structures. The overall data dimensionality for such problems is large. However, at particular monitoring locations data can be sparse in space and/or time. Monitoring locations along rivers are flow-connected with models requiring catchment information and river network covariance structures.
Candidates should have good statistical programming skills and an interest in Environmental Statistics.
The successful student will be supervised by Dr Claire Miller (nee Ferguson) and Professor Marian Scott in Statistics at the University of Glasgow. Both supervisors have strong connections with the EA and SEPA and this project is motivated by collaborations with both agencies.
If you require any further information please contact Dr Claire Miller (nee Ferguson) (Claire.Ferguson@glasgow.ac.uk), Tel 0141 330 5023 or Prof. Marian Scott (Marian.Scott@glasgow.ac.uk), Tel 0141 330 5125.
Details of how to apply for postgraduate research at the University of Glasgow are available at the website below:
http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/
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