Open position: PhD student

PhD student to the ‘Population Mental Health’ research group led by Prof. Markus Jokela at the Faculty of Medicine, University of Helsinki.

The PhD student will be part of the consortium “Social networks, fertility and wellbeing in ageing populations: Building demographic resilience in Finland” (NetResilience), funded by the Strategic Research Council of the Academy of Finland. NetResilience investigates how social networks vary between regions and demographic groups and over time, and how they affect fertility, active ageing, individual wellbeing, and demographic resilience. It brings together leading scholars from social science, psychology, ecology, and computer science in Finland, and is directed by Prof. Antti O. Tanskanen (University of Turku).

The person hired here will focus on geographical variations in subjective wellbeing, family relations, social activity, and population development (e.g., fertility rates and migration patterns) in Finland. The aim is to understand how different individual, social, and regional factors contribute to people’s wellbeing and to differences in regional development at the level of municipalities. The data come from national surveys and population registries.

The person chosen to the position is expected to participate in research of the NetResilience and to carry out a PhD research project related to the aims of NetResilience. In addition to research, work tasks may include minor teaching responsibilities (maximum of 5% of working time). In strategic research consortia, societal interaction has a central role, and NetResilience offers excellent opportunities to gain experience also in societal impact of research.

The contract is for a fixed term period until 30.9.2024 (with a possibility for an extra 3 years, pending the second consortium funding round). The work can start on the 1st of January 2023, or as soon as possible.

Requirements

The person chosen for the position is expected to have a master’s degree from a relevant field (e.g. psychology, demography, sociology, geography); good quantitative methods skills; and an interest in working with large-scale survey and registry data. Successful applicants have strong research orientation and fluency in English. Experience with multilevel modeling is particularly helpful. Regarding statistical software, we prefer Stata, R, and/or Python.

Read more and apply

The deadline for applications is December 13th, 2022 at 23:59 EEST.