2-4 funded ESRC White Rose DTP PhD Scholarships at the University of Hull
Closing date: 17.00 27th January 2021
The University of Hull is a member of the prestigious Economic and Social Research Council White Rose Doctoral Training Partnership - a collaboration between the leading social science departments in the Universities of Bradford, Hull, Leeds, Manchester Metropolitan, Sheffield, Sheffield Hallam and York.
We are now seeking talented students to join us for a world-class start to your research career by undertaking a funded social science Masters and / or PhD degree at Hull.
There are two types of fully-funded PhD studentships available for full or part-time study in three of our leading social science departments: Geography, Geology and Environment, History and Psychology:
4-year programme (referred to as a 1+3 programme)
Your first year on this programme will be the Taught Masters (MSc) in Social Sciences. The second year onwards is the PhD degree, which involves developing, undertaking and completing a PhD of your own research design, alongside ongoing research training.
3-year programme (referred to as +3)
This programme is a three-year PhD only. To qualify for this route you will need to have a Masters degree already, or to be able to demonstrate significant social sciences research training skills and experience equivalent to a Masters degree.
Research pathways
To apply for a White Rose studentship, you will need to develop a research proposal with your potential PhD supervisor(s). The proposal must sit within one of the following five, broad research pathways:
- Cities, Environment & Liveability.
- Education, Childhood and Youth.
- Wellbeing, Health and Communities.
- Sustainable growth, management and economic productivity.
- Civil Society, Development and Democracy.
Further details on the Pathways can be found on the University of Hull scholarships webpage.
In addition to the Pathway awards, the WRDTP is also offering 4 funded Advanced Quantitative Methods Awards. Priority will be given to those who will be working with large data sets (an ESRC priority).