ESRC Migration Studies Studentship, School of Anthropology and Museum Ethnography, University of Oxford, UK. Deadline: 20 January 2023.
Are you interested in studying for a doctorate (DPhil) in a migration-related subject? Do you have a good first degree in a relevant social science subject? If so, have you considered applying for an ESRC Migration Studies pathway competition Studentship, available through the Grand Union Doctoral Training Partnership (DTP)?Applications are invited for entry in October 2023. You must apply for the studentship at the same time as you apply for your degree.
There are two routes you can take:
1+3: you can apply for one of two eligible taught masters (the MSc in Migration Studies or the MSc in Refugee and Forced Migration Studies) and then for the DPhil*; or
+3: (if you already have met the core training requirements set by the ESRC) directly into a DPhil on a migration-related topic.
*The Migration Studies Studentships are not intended for taught master’s degrees on their own. To apply you must be planning to undertake a doctorate. Please also note that successful admission to the doctoral programme is subject to approval by the relevant department’s DPhil Admissions Committee.
The studentships cover stipend and fees for the length of your award; full details can be found on the Grand Union DTP website.
The ESRC awarded the DTP Migration Studies Studentships in recognition of research strength in interdisciplinary migration studies, and the two taught masters are offered by Anthropology and International Development (the MSc in Migration Studies) and International Development (the MSc in Refugee and Forced Migration Studies) respectively. Students on the 1+3 pathway may progress from one of these masters to doctorates in Migration Studies, International Development, Anthropology, Politics and International Relations, Geography, Law, Sociology, Economics or another appropriate department.
NOTE: ESRC = Economic and Social Research Council, the UK’s largest funder of economic, social, behavioral and human data science.