The FAST project aims to improve understanding of population change. The project emphasizes that demography is not static but a dynamic phenomenon – potentially moving fast. This move from ‘slow’ to ‘fast’ is particularly relevant as we shift our interest from a global scale to the context of nations, subnational regions, or territories.
When the scale is at a local level, the pace of the population increases because of the stronger influence of migratory movements on overall population change. For instance, at the level of territories, immigration can open up new and swifter demographic “windows of opportunities” - periods of time in which young adults and adults in working age become the largest part of the population – spurring a period of sustained economic growth. On the contrary, emigration can significantly speed up depopulation processes.
The FAST project set out a new, interdisciplinary framework to analyze population change and its interactions with socio-economic well-being at a subnational level. Based on a multilevel, macro- and micro-level approach, mixed-method research strategies, and a wealth of different data sources (administrative records, survey data, focus group, and real estate data), the project aims to study population change at the subnational level in Europe and Italy over the last two decades.
Job description:The successful candidate should be a social scientist with excellent skills and prior experience in data analysis, and interests in the study of social phenomena. The successful candidate will support the research team in collecting and analysing data on migration patterns, real estate data, availability and use of social services, quality of life and socio-economic development of European regions.
Prior experience in data management and data analysis using statistical software such as R and Stata is required. Experience with web scraping is preferred but not a requirement.
Deadline: 18 October