Please see below a job advert from my colleague Robin Preece at Manchester which may be of interest. I have also key further details from the full ad below Robin's email.
Chris
Subject: Research Associate Position at The University of Manchester, UK
Dear all,
A position for a Research Associate in Energy Networks Engineering is open at The University of Manchester, UK. We are inviting talented and ambitious researchers with a background in risk and uncertainty modelling and system analysis to apply!
Full details are available here: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16369
The closing date for applications is 5 December 2018. Please forward this on to anyone who you think might be interested.
Thanks and all the best
Robin
Dr Robin Preece
Senior Lecturer (Associate Professor) in Future Power Systems
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+44 (0)161 306 2811 | Ferranti Building C14, The University of Manchester, Manchester M13 9PL, UK
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Further details
The EPSRC Supergen Energy Networks Hub brings together the vibrant and diverse energy networks community to gain a deeper understanding of the interactions and inter-dependencies of energy networks. The Hub will integrate a wide range of industrial and academic partners in order to address the network challenges surrounding technology, policy, data, markets and risk. The University of Manchester is one of the core partners and through this project you will be driving forward key research that will help to shape the UK's energy landscape.
This role will contribute directly to a work stream focussed on uncertainty and risk analysis in interdependent and interconnected energy systems. However, all work streams across the different network challenge areas will be highly collaborative and you will have excellent opportunities to develop transdisciplinary work and expand your area of expertise.
The detailed research questions you will tackle include:
* How do uncertainties propagate through interdependent multi-vector energy networks?
* How does uncertainty vary within multi-vector energy networks on different timescales and for different locations?
* How can we identify the critical uncertainties in our systems and mitigate for the negative impacts they introduce?
* How can we effectively communicate risk and uncertainty to non-specialist audiences?
You will develop new methods and techniques to solve these questions and more.
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