|Salary:||£33,199 to £39,609 Grade 7.|
|Placed On:||22nd May 2019|
|Closes:||28th June 2019|
Contract Type: Full Time & Fixed Term (30 months)
Closing Date: 28 June 2019 (Midday)
The Department of Mathematical Sciences at Durham University invites applications for a postdoctoral position, for a 30-month period.
The post-holder will conduct research in statistical methodology related to the project ‘Centre for Energy Systems Integration’ (CESI, http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P001173/1) funded by the Engineering and Physical Sciences Research Council and augmented by an Impact Acceleration Account award to support work with the National Audit Office.
The research will use state-of-the-art statistical methodology for uncertainty analysis in a range of complex computer simulators representing energy economics and engineering systems. There will be a particular emphasis on developing new methodology for analysing the propagation of uncertainty between linked models.
The development of exemplars will be central to the project. There will be substantial opportunities for collaboration with other academic disciplines and industrial partners within the CESI project in this development. These exemplars will be drawn primarily from the CESI project – the concept of energy systems integration is coordination of operation and planning of different levels (e.g. national and local) of the energy system, and of the systems for different energy carriers (gas, electricity, heat etc.) There will be a particular focus on exemplars that are currently under development within CESI for energy provision for the North East.
A unique feature of this project will be the development of principles and methods for the audit of the treatment of uncertainty within modelling applications, both within energy systems and more generally. This will involve close liaison with the National Audit Office.
This is a 30 month fixed term, externally funded post, formed on the basis of appointment at the bottom of Grade 7, and provided that the successful candidate can commence the role by the beginning of October 2019. In the event that the appointment is made at a higher salary point, or the start date is later, then the term of the appointment will reduce in length in accordance with the available funding.
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