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EPSRC CREDS PhD Studentship - Equity assessment of demand-side flexibility technologies in grid-integrated transportation electrification

   UCL Centre for Advanced Spatial Analysis

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  Dr Esra Suel, Prof Adam Dennett, Dr Nicolò Daina, Dr Gerry Casey  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

We are pleased to offer a fully funded PhD at the Bartlett Centre for Advanced Spatial Analysis (CASA), UCL, in collaboration with Columbia University and Arup via the supervisory team. This studentship is funded by The EPSRC Centre for Research into Energy Demand Solution (CREDS) for 3.5 years. The student will be based at the UCL CASA. There may also be opportunities for short secondments at Columbia University. The PhD student will benefit from the recently established partnership CASA Arup City Modelling Lab and opportunities to interact with other PhD students in the group. There will also be opportunities to participate to interact closely with the Centre for Research into Energy Demand Solution (CREDS) and its follow up, meetings with industrial partners.

About the role

Proposed start date:

September/October 2023

Summary of the Project:

The overall goal of the project is to identify socio-demographic groups who will be most impacted by demand side flexibility solutions as we rapidly transition to transport electrification by developing quantitative multi-dimensional time-varying metrics from travel surveys and agent-based models. The focus will be on smart charging and V2G technologies that enables EV owners to benefit from lower energy prices in exchange for their flexibility. Our hypothesis is that benefits from these technologies will be unequally distributed. First, EV ownership and access to charging infrastructure is already (and will continue to be) greater for high-income groups, certain dwelling types, suburban and rural communities. If the supply system allows for these groups to benefit more from lower energy pricing and selling unused power back to the grid at peak times, non-owners in urban communities and low-income groups will bear the higher cost burden both for travelling and other uses of energy. Second, flexibility in activity patterns and access to alternative modes is not equally distributed in society and influenced by income levels, occupational arrangements, gender roles, and spatial differentiation. The goal will be to better understand if certain socio-demographic groups will be unreasonably affected by demand side flexibility solutions, whether existing inequalities are reinforced, and where policy interventions would need be needed to ensure equitable distribution of benefits from electrification.

About you

Person specification:

Applicants would normally be expected to hold (or nearing completion) an undergraduate degree in a relevant discipline (such as Transport, Energy, Geography, Planning, Economics, Computer Science, Mathematics, Statistics, Physics) at 2:1 or above. Having a Master's degree or any other relevant experience would be favourable. A solid background in statistical modelling, econometrics or data science and a strong interest in energy systems, human geography and transport studies would be an advantage.


The award is subject to the UKRI rules, and the studentship will be restricted to those eligible for home studentships.

How to apply:

Please send an e-mail to e.[Email Address Removed] with your CV, academic transcripts, and a personal statement (up to 500 words) describing your related skills, interests and why you wish to apply for this project. Please include ‘CREDS PhD Studentship’ in the subject.

The deadline for applications is 23:59 on the 30th June 2023.

Early application is highly recommended as position will be filled as soon as a suitable candidate is found, which might be before closing date. Interviews are expected to be held in the first two weeks of June. For any informal enquiries about the studentship, please contact Dr. Esra Suel in CASA – [Email Address Removed]

Funding Notes

Stipend: £19,668 per year + UK fees for 3.5 years.
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