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October 2014
Message 30

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[Met-jobs] Engineering Doctorate (EndD) position, Reading, UK - new closing date

From "Roger Brugge" <r.brugge@reading.ac.uk>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Thu, 9 Oct 2014 12:29:16 +0000

Closing Date for Applications: 17 October 2014 at 12 noon.

The changing energy mix in the UK, in particular the effect of renewable energy 
as an energy source, faces certain challenges that need to be addressed to 
ensure its positive contribution; a particular challenge is understanding the 
uncertainty within the data that is used to predict the renewable energy output 
(e.g. in supply energy forecasts to the Control Room to assist in decision 
making). Currently the UK’s National Electricity transmission system operator, 
National Grid plc. rely upon complex, data intensive production models to 
predict short term demand. Interpretation of variability within the output of 
these models using advanced visualisation techniques will therefore improve and 
simplify decision making.

The major academic contribution of this project is expected to come from 
developing advanced and novel techniques to assist in the visualisation of 
uncertainly and variability that arises from utilising metrological data. These 
techniques will have a direct impact on the decision making processes with a 
complex and challenging real time environment. You will be developing novel 
visualisation presentations and prototyping them from within National Grid 
Market Operation. The project will draw most strongly on techniques in computer 
simulation and visualisation, to include both 2D and 3D immersive projection 
techniques and displays. The research method development will also be informed 
by an appropriate understanding of both technical aspects of renewable energy 
sources and their contribution in the overall balancing of energy sources and 
the economic impact of choices to be made during real-time operation. In 
addition, the student will need to have or develop a detailed understanding of 
atmospheric predictability and the production of meteorological forecast 
information in order to inform an appropriate design for the visualisation.

The research will be co-supervised by Prof. Paul Sharkey, Professor of 
Cybernetics within the School of Systems Engineering and Dr Andrew 
Charlton-Perez within the Department of Meteorology, School of Mathematical and 
Physical Sciences. Professor Sharkey’s expertise spans the fields of robotics, 
control systems, active vision and virtual reality. He is the Director of the 
Visualisation and Interactive Technologies Centre, and a member of the 
Cybernetics Research Group. Dr Charlton- Perez specialises in the field of 
atmospheric dynamics and predictability and also has interests in how weather 
forecasts are visualized and communicated to end users.



We are seeking self-motivated, pro-active and ambitious applicants with a 
background and strong interest in one or more of the following areas: 
visualisation techniques; 2D/3D graphics; mathematical modelling; and 
meteorological modelling. Applicants must possess a good relevant degree (2:1 
or higher) or MSc. The successful applicant will be developed as a good 
communicator and will be driven to conduct academically rigorous commercial 
research from within the UK's largest utility business.

The Application will be expect to split their time between National Grid and 
the University of Reading. Previous EngD students have gone onto developed a 
successful further career with National Grid, but participating in this 
research does not guarantee a position with National Grid.

http://www.reading.ac.uk/web/FILES/tsbe/FINAL2_NGRID_UOR_Visualisation_re-ad.pdf

Thanks

Andrew

----
Andrew Charlton-Perez
Associate Professor of Meteorology
MSc programme director
305 Lyle Building

sws05ajc@reading.ac.uk<mailto:sws05ajc@reading.ac.uk>
www.met.reading.ac.uk/~sws05ajc<http://www.met.reading.ac.uk/~sws05ajc>
@CharltonPerez




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