Admission to the doctoral programme (PhD programme) at the University of Gothenburg, Sweden, comes with a 4-year salaried position on a fulltime, residential basis, with the possibility of extension for a fifth year if the student completes a minimum of 20 per cent teaching/other duties during the first four years. Students get office space, computer, office phone and access to all standard services at the Department. The positions are funded by a grant from the Swedish Research Council for the recruitment of Professor Ellen Lust from Yale University. Students can be admitted to positions associated with one of two programmes. The first is the Varieties of Democracy research programme and students admitted to this programme will be situated in the V-Dem Institute, Department of Political Science, headed by Professor Staffan I. Lindberg who is also co-Principal Investigator for the V-Dem project.
The second programme is the Programme on Governance and Local Development at Gothenburg (GLD-G). This programme, headed by Professor Ellen Lust, will be similar in scope and design as the Programme on Governance and Local Development that she founded and currently directs at Yale University (see http://gld.commons.yale.edu). Although it continues to be focused heavily on the Middle East and North Africa, students who are interested in these issues in Sub-Saharan Africa are also encouraged to apply. We will admit and fund three well-qualified and highly motivated students to work on issues covered by these programs. We are particularly interested in candidates who have a record of accomplishments in one or more of the following areas:
(1) comparative democratization (e.g., sequencing in democratization, democracy and development, democracy and governance/corruption, elections and democratization, or other areas),
(2) governance and development issues (e.g., non-state governance, service provision, local-state relations, etc.).;
(3) regional expertise, most importantly from the Middle East/North Africa, and/or sub-Saharan Africa, as well as
(4) research methods (e.g., aggregation, IRT-modelling, experiments, expert coding in data collection, causal inference in time series analysis, sequencing algorithms, or related methods).
Further details:
http://www.universitypositions.eu