
Postdoctoral Fellow
15 hours ago
Organisation/Company: University of Oslo
Research Field: Educational sciences
Researcher Profile: Recognised Researcher (R2)
Positions: Postdoc Positions
Country: Norway
Application Deadline: 15 Apr 2025 - 23:00 (Europe/Oslo)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 37.5
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionApplicants are invited for a three to four-year full-time position as a Postdoctoral Fellow in the project "Segregation of Opportunities: Pathways to Marginalization through Neighborhoods and Peers" (SEGOP), at the Department of Special Needs Education at the University of Oslo, Norway.
The Postdoctoral Fellow will have the office space located at the Center for Research on Equality in Education (CREATE) and will be working on the project "Segregation of Opportunities: Pathways to Marginalization through Neighborhoods and Peers" (SEGOP) funded by the European Research Council (ERC). The SEGOP project investigates how social and economic exclusion unfolds through interactions between family background, individual characteristics, and neighborhood and peer characteristics.
The SEGOP project aims to provide a new understanding of how individual characteristics, combined with the influences of family, school, and neighborhood contexts, impact various aspects of marginalization such as academic failure, labor market exclusion, and mental health issues. The successful candidate will have the opportunity to define and pursue their own research interests within the scope of the research areas described.
The Postdoctoral Fellow will be expected to use advanced quantitative methods to draw causal inferences from non-experimental data. The main data source is administrative register data linked with large-scale survey data and genetic data. The successful candidate should have prior knowledge of quasi-experimental methods and, preferably, large data sources such as register data.
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