Research Associate in Modelling Wind Power and Electricity Systems

All UK vacanciesAcademic or ResearchResearch Associate in Modelling Wind Power and Electricity Systems

Engineering and Technology,Electrical and Electronic Engineering,Other Engineering,Economics

Short info about job

Company: Imperial College London

Department: Centre for Environmental Policy, Faculty of Natural Sciences

Salary: £36,800 to £44,220 per annum

Hours: Full Time

Contract type: Fixed-Term/Contract

Type / Role: Academic or Research

Phone: +44-1354 3952850

Fax: +44-1398 1694885

E-mail: N\A

Site:

Detail information about job Research Associate in Modelling Wind Power and Electricity Systems. Terms and conditions vacancy

Applications are invited for a Research Associate to work on the economics and carbon mitigation potential of wind power and power stations with Carbon Capture and Storage. This post is held within the Centre for Environmental Policy at Imperial College London and Imperial College Business School.

The Research Associate will work with Professor Richard Green and Dr Iain Staffell, to contribute to two interdisciplinary projects funded by the Engineering and Physical Sciences Research Council (EPSRC). Maximising the Carbon Impact of Wind Power studies the ways in which carbon emissions from other power stations change as the amount of wind power in the British electricity system increases. MESMERISE-CCS models the future operating patterns CCS power stations and interactions with the engineering implications for the station and the geological processes involved with carbon sequestration.

These are both ambitious projects aimed at understanding the role of different technologies in decarbonising electricity systems, and the degree to which decarbonised power generation can operate in a flexible manner in sympathy with market forces. The role will involve electricity market modelling, considering the dispatch of power stations, investment in new stations, and the economic implications for station owners (revenues, returns and risks).

You must have a PhD (or equivalent) in economics or an appropriate science or engineering subject. You will have knowledge and experience in at least one of the following areas: economics of electricity markets, econometrics and/or operations research. You will perform regression analysis of historic power systems data, so experience with advanced regression techniques, such as quantile regression or regime switching models is required.  The existing models in the research group use Excel, R and GAMS, so familiarity with one or more of these is desired.  You will have proven track record in conducting high level research, evidence of innovative publications in peer reviewed journals and a keen interest in a low-carbon electricity system.

Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select ‘Job Search’ then enter the job title vacancy reference number, including spaces into Key Words NS 2017141 LP). Please complete and upload the application form as directed.

This is a fixed-term, full-time position available for up to 15 months based at the South Kensington Campus.

Any candidate who has not been awarded their PhD, will be appointed as a Research Assistant within the salary range £32,380 - £34,040 per annum

If you are unable to apply online, please contact Karen Lyle, email [email protected] to request an application form.

Closing date: 7 September 2017 (Midnight BST)

Imperial Expectations guide the behaviour of all our staff.

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/.

Responds for Research Associate in Modelling Wind Power and Electricity Systems on FaceBook

Read all comments for Research Associate in Modelling Wind Power and Electricity Systems. Leave a respond Research Associate in Modelling Wind Power and Electricity Systems in social networks. Research Associate in Modelling Wind Power and Electricity Systems on Facebook and Google+