Community planning and [sustainability] Transition research is an interdisciplinary area of investigation. We welcome research proposals for Postgraduate-doctoral research, as well as self-funded academic visits and post-doctoral research proposals / collaborations. Those interested should submit a statement of interest.
Call for PhD research proposals
PhD studentships are not available for this specific research area. Those interested in submitting proposals as part of a formal PG application process for PhD study at the University of Reading, may consult with the organizers. However, all proposals will be considered and reviewed by independent Faculty selection panels for studentships competitions as and when they are available. Read more.
General entry requirements normally include:
Highlight current debates within the field; and
Demonstrate a suitable level of analysis
Please visit the Postgraduate research sections of the School of Real Estate and Planning, and the Department of Geography and Environmental Science for more information.
Writing your research proposal
Your research proposal should normally include:
A thorough literature review that identifies relevant gaps in current knowledge (these can be both theoretical and empirical).
A statement of research the hypotheses or questions that will be the focus of your proposed research, which will help to address the relevant gaps in current knowledge.
A methodology that explains how the research questions will be investigated: what kind of data (for secondary data, note which sources; for primary data, note how it it will be collected). How is the data going to be analysed? This should include a justification of the qualitative (e.g. case study) and/or quantitative techniques you aim to employ in your proposed research (training will be provided in the course of your PhD studies). Be as specific as you can.
Explain how you anticipate the answers to your proposed research questions to help make policy or practice more effective.
Provide all relevant literature and data sources.