PhD Studentship - Modelling the transition to low carbon cities

Loughborough University - School of Business and Economics (SBE)

Applications are invited for a PhD studentship starting January 2017. The project will be based within the School of Business and Economics (SBE), together with the Centre for Renewable Energy Systems Technology (CREST) at Loughborough University.

With over 50% of the world’s population now living in urban areas, towns and cities are pivotal in addressing key energy and environmental challenges globally. However, current approaches to analysing urban energy transitions neglect the systemic, interconnected and holistic nature of energy systems; the relationships between energy, technology, economics and the needs of urban communities themselves are often ignored.

You will explore transition pathways that address key urban energy challenges. Your approach will be systemic and inclusive; rather than taking either a predominantly technology or economic standpoint, you will examine technical, social, regulatory and market aspects in parallel. Rather than focusing primarily on supply-side and infrastructural aspects, in equal measure your research will focus upon the demand for energy services, and how this may be served effectively via market and institutional frameworks. Thus, the research takes a whole-systems approach based upon relevant economic theory together with spatio-temporal and statistical analysis of empirical data.

Central to the work are a number of key research objectives, including:

  • Modelling cost-effective, sustainable means to meet increasing demand for electricity in buildings and transport, while integrating a range of new supply vectors, both variable and firm
  • Evaluating how to provide increasing supplies of economically viable low carbon heat (and coolth) to urban regions
  • Analysing the role of electrical and thermal energy storage in meeting these challenges
  • Identifying markets and business models appropriate for the development of viable investment propositions
  • Developing robust risk management approaches that address multiple uncertainties regarding investors’ ability to recover investment costs, whilst maintaining cost-effective energy services

You will benefit from the co-supervision of Prof Monica Giulietti in the School of Business and Economics and Dr Paul Rowley in CREST. Further information can be found at

This project is funded partly by the EPSRC as part of the Doctoral Training Partnership (DTP) awarded to Loughborough University.

Benefits include:

  • Tax-free stipend of £14,296 per annum for 3.5 years.
  • Tuition fees at the UK/EU rate, for up to 3.5 years.
  • A Research Training Support Grant worth at least £1,750
  • Admission as part of a cohort of EPSRC-DTP funded students

Due to funding restrictions, this is only available to those who are eligible to pay UK/EU fees. In order to qualify for a full award, all applicants must meet the EPSRC eligibility criteria including the minimum residency requirement

Students will normally need to hold, or expect to gain, a relevant Master’s degree with final mark of at least 65%. Experience in one or more of the following will be an advantage:  mathematics, operations research economics with a high level of numeracy and the ability to apply mathematical or statistical skills in a multi-disciplinary context. Experience of statistical or econometric modelling and/or simulation techniques would be a distinct advantage.

For informal enquiries about the project, please contact Prof Monica Giulietti ( or Dr Paul Rowley (

To apply, complete the online application using: Under programme name, select ‘Business School’

Closing Date: [8/12/2017]
Interviews will take place w/c [12/12/2017]

Please quote the following reference when applying: GSRC16E/MG

Share this PhD
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:



Midlands of England