
瑞典哥德堡大学博士后职位招聘–政治学
Varieties of Democracy (V-Dem) is a large-scale, international data collection and research-program. The V-Dem Institute, Directed by Professor Staffan I. Lindberg, is the headquarters but also hosts several additional research programs. For more information: https://v-dem.net
This postdoc is mainly for fulfilling the V-Dem Institute’s part (Work Package 6) in the collaboration with Professor Håvard Hegre (Uppsala University) in the research program on ”Societies at Risk: The impact of armed conflict on Human Development” funded by Riksbankens Jubileumsfond. The postdoc will also be able to be part of other research projects at the Institute.
The postdoc will study the impact of armed conflict on various aspects of political institutions. Using indicators from the Varieties of Democracy project, seek to distinguish between the effects on elections, on institutions ensuring legislative or judicial constraints, and on civil society and freedom of speech and association. The postdoc will also explore how these institutions work to help preventing armed conflict in the first place partly by establishing a sound counterfactual for the impact of armed conflict, partly to feed in to the conflict forecasting in another part of the overall research program. Finally, the postdoc will work with how to model how political institutions affect communities’ vulnerability to the impact of armed conflict.
Coding of data, quality control and/or data management during peak periods may be part of the work. Outreach and collaboration with institutions in society may also be part of the job.
You must have a doctoral degree in preferably Political Science or related discipline. We are looking for a candidate with previous experience of research relating to the research areas described above.
Applications will be evaluated primarily on research excellence in comparative politics with a focus on areas of relevance to one of the projects listed above.
Candidates must have a strong record in one or more of the following areas:
- Explicit interest in conducting research laid out in the agenda of the in the research program on “Communities at risk: The impact of armed conflict on Human Development”, and solving the scientific problems identified, with demonstrated abilities to provide original, state-of-the-art, and creative solutions to such research problems.
- Advanced statistical competences in areas such as regression techniques, and/or related approaches.
Advantageous criteria include:
- Prior use of V-Dem and UCDP data in applied research or similar evidence of familiarity with the project.
- Experience of machine learning, predictive modelling, and/or related approaches.
- Demonstrated resourcefulness, flexibility, and very good ability to do teamwork in different configurations.
- Experience working collaboratively on a large-scale research project.
Applicants must have excellent written and oral proficiency in English.
To be successful in this position, you must have an eye for detail, good organizational skills and be able to solve problems. You need to have very high communication and collaboration skills.
Great emphasis is placed on personal suitability for the position. We will make an overall assessment and the applicant who is considered to be best qualified to carry out and develop the tasks described above will be appointed to the position.
How to apply:
Applications to be submitted online, by clicking the ‘Apply’ button.
The application should include the following:
- Applicants are expected to visit https://www.pcr.uu.se/research/sar and read in particular about Work Package 6.
- The letter of application should include a self-evaluation of how the applicant’s qualifications and how s/he can contribute to the research in Work Package 6, and how the applicant otherwise meets the requirements above.
- A CV
- Research project proposal (max 3 pages) outlining how the applicant would suggest to work on Work Package 6 if hired.
- One writing sample.
- The application should also include a list of at least three references from whom letters of recommendation can be solicited.