Postdoctoral Research Fellow in Political Science, with a focus on the computational and statistical development of Local Governance indicators
Ref PAR 2022/1548
The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.
The Department of Political Science is an open and socially engaged institution, in the middle of the city and in the middle of the debate. In 2022, the ShanghaiRanking’s Academy of World Universities ranked the department number 1 in Sweden, 5 in Europe and 19 in the world in political science. We are very research-active and offer a lively research environment with several thematic seminar series and internal workshops. Our research revolves around elections, democracy, corruption, forms of government, globalization, the environment and politics, as well as European issues. The department hosts research programs such as the Center for Collective Action Research (CeCAR), the QoG Institute, Varieties of Democracy (V-Dem), Governance and Local Development Institute (GLD) and the Swedish Electoral Research Program. We have education at all levels, undergraduate advanced level and postgraduate level, as well as independent courses. Teaching is given in both Swedish and English. In total, about 1,400 people study with us. The Department of Political Science has around 160 employees.
The Governance and Local Development Institute (GLD) is directed by Professor Ellen Lust. GLD aims to explain variation in governance and local development in an effort to promote human welfare globally. Read more about the research program on our website at http://www.gld.gu.se/
GLD’s Local Governance Process Indicators (LGPI) provides a new approach to measuring, analyzing, and improving local governance. The LGPI employs household surveys to gather micro-level data from communities, including data on experience, perception, and satisfaction regarding cross-cutting governance issues: specifically, batteries for health, education, security, voice and participation, and governance metrics. Thus, the LGPI collects, assesses, and benchmarks detailed information on local governance and service delivery issues. Read more about the LGPI here: https://gld.gu.se/en/projects/flagship-project-lgpi/local-governance-process-indicators-lgpi/
The Department of Political Science and the Governance and Local Development Institute invites applications for a post-doctoral fellow to conduct research within the framework of the project “Local Governance Process Indicators (LGPI).” This is a 2-year position, full-time in-residence postdoctoral researcher, with a flexible starting date in 2023.
Social Science, including political science, economics, development, and related fields as well as Computational Fields with applications to the Social Sciences, including computational social science, data science, statistics, complexity theory, and related fields.
Subject area description
Political science is a social science discipline concerned with the study of the state, nation, government, and politics and policies of government on local, national, and international levels. Computational social science disciplines use statistical and computational methods to understand society and human behavior.
Employment as a postdoctoral fellow aims to give the employee an early opportunity to develop their independence as a researcher after completing their doctoral degree and to create the conditions for further qualifications. The person employed as a postdoctoral fellow must mainly conduct research. Teaching can be included in the work duties, but to a maximum of one-fifth of the working time.
As a postdoctoral researcher with GLD, you will be expected to spend your time on GLD- or project-oriented tasks including: Assisting in research design and implementation, including the coding of surveys, developing machine learning models, and solving computational issues; Assisting with the development of a complexity science framework for local governance; Analyzing data; Collaborating with the GLD Statistician to solve statistical issues; Collaborating with Professor Ellen Lust and other researchers in the program, as relevant, to disseminate findings through articles and presentations.
There will be excellent opportunities for intellectual development and mentoring as well as for developing an independent research agenda within the overall context of the project. There are ample opportunities for developing a strong academic network.
Eligible to be employed as a postdoctoral fellow is someone who has a doctorate in a relevant social science or computational field at the latest at the time the employment decision is made. In the first instance, those who have completed their degree no more than three years before the end of the application period should be considered. Even those who have completed their degree previously can be considered if there are special reasons.
For more information regarding eligibility please visit The appointment procedure GU 2022/38
We are looking for you who have the necessary skillset to successfully carry out the job assignments as described.
The following qualities are required:
- You must have either:
- A doctorate in a relevant social science field with extensive computational training, OR
- A doctorate in a computational field with applied experience
- Advanced skills in the statistical software R
- Knowledge of at least one other coding language (Python, C++, etc.)
- Experience using machine learning algorithms
- Experience with advanced model fitting beyond multiple linear regression
- Ability to identify and solve statistical problems (with the assistance of the GLD statistician)
- Proven excellence in English (written and spoken)
The following qualities, while not required, are meritorious:
- Previous experience using advanced computational methods in social science research
- Experience in large scale computing, parallel computing, and/or cloud computing
- Experience in index creation and/or validation
- Experience in complexity science research
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, while also having a knack for independent work.
Great emphasis is placed on personal suitability for the position. We will make an overall assessment and the applicant who is best qualified to carry out and develop the tasks described above will be appointed to the position.
The employment is limited (temporary) for 2 years, full-time and is currently placed at the Department of Political Science. Starting date - as early as possible or as agreed.
For more information please visit The appointment Procedure, GU 2022/38
Contact information for the post
If you have questions regarding the employment, or details about the projects in which this position is organized, please contact Erica Ann Metheney, firstname.lastname@example.org
If you have any questions regarding the employment procedure, please contact Helena Jensen, Helena.Jensen@gu.se
Union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande
To apply for a position at the University of Gothenburg, you have to create an account in our recruitment system. Submit your application via the University of Gothenburg’s recruitment portal by clicking the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline.
We kindly ask you to write your application in English as the application may be reviewed by English-speaking staff. In the selection process, English will likely be spoken in the interview and to any references.
The application should include the following:
- Statement of how the applicant’s research agenda would contribute to the GLD Institute, included in a broader cover letter
- A C.V. (including a list of publications)
- One English-language writing sample (may be a previously published work or one in progress)
- An example of how you have used machine learning in research (including code and write up of results)
- A list of at least three references (with contact information) from whom letters of recommendation can be solicited
Applications must be received by: 2023-02-28
Information for International Applicants
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