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Solar photovoltaic and environment interactions: developing understanding and embedding co-benefits into the low carbon energy transition

  • Full or part time
  • Application Deadline
    Thursday, April 18, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Decarbonisation of energy supplies is triggering notable land use change across the world. To date there is relatively limited understanding of the consequences of this land use change yet considerable opportunity to embed ecosystem co-benefits. Embedding co-benefits is especially appealing given increasing recognition of the importance of ecosystem services and natural capital. Further, there is scope for feedbacks for energy provisioning, including increasing efficiencies and public acceptance. We are looking for an appropriately skilled applicant interested in co-developing their own proposal in the energy-environment space. Projects may focus on climatic impacts, ecosystem response, quantification of effects on ecosystem services and natural capital, or means by which to determine strategic development of solar photovoltaics. The project may be field, laboratory or modelling based, although research budgets apply, and there will be opportunities for training and development in transferable and research specific skills. For existing projects in the group please see http://www.energyenvironment.co.uk.

Please be in contact with Dr Alona Armstrong () by 15th March to start co-developing a proposal. After 15th March Dr Armstrong will be back in the office on 8th April for further discussion and the deadline for submission is 18th April.

Funding Notes

Full studentships (UK/EU tuition fees and stipend (£15,009 2019/20 [tax free])) for UK/EU students for 3.5 years. Unfortunately funding is not available for International (non EU) students.

Applicants should hold a minimum of a UK honours degree at 2:1 level or equivalent in a subject that provides a suitable grounding for their proposal, likely environmental science, geography, ecology, but potentially statistics and computing or other degrees that provide a relevant skill base.

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