Doctoral candidate position in the project "Cooperation, Evolution and Resource Management"
University of Turku
https://luhaproject.wordpress.com/2019/02/01/four-year-doctoral-candidate-position-second-call/
Our project funded by the Kone Foundation tests the applicability of evolutionary models to the study of human decision-making processes in the context of natural resource management. Our approach is interdisciplinary, and combines research questions and methodologies from both social and natural sciences. An important methodology shared by the two disciplines is the game theoretical approach. In the global scale there has been a shift from the Tragedy of Commons approach to the Drama of Commons approach with a more optimistic view on the capacity of local stakeholders to solve problems related to common pool resource management. We are mainly interested to find out in what circumstances a stable local common pool resource management might succeed. Our empirical focus will be on the management of Finnish fish and game resources, reindeer pastures and common forests. A more theoretical focus is finding the key differences and commonalities between the theories used in different fields.
Duties: We recruit a doctoral candidate who would cooperate in data collection, statistical analyses and writing articles with the aim to produce an article-based PhD thesis. Data will be extracted from the long-term datasets collected by Finnish national research institutions (mainly Statistics Finland, Natural Resources Institute Finland, Finnish Environment Institute, The Finnish Wildlife Agency, Finnish Forest Centre, Reindeer Herders' Association) and their local offices. For specific research questions interview studies will be performed. An important theoretical framework throughout the project will be the Social Ecological Systems (SES) theory developed by Elinor Ostrom and her co-researchers.
Qualifications: Essential qualifications are: (1) An MSc or equivalent degree, for example in (evolutionary) biology, economy or some of the social sciences, (2) Experience of quantitative methods and statistics, (3) A genuine and preferably documented interest in combining (evolutionary) biology with a wider societal perspective. Desired qualifications are: (a) Strong statistical skills, (b) Experience in working with public databases, (c) A willingness to learn new methodologies or approaches also from other disciplines. Knowledge of Finnish is not a requirement but is considered an asset as most of the data will be sources in Finnish.
Place of work: University of Turku, Finland
Work group: LuHa - Jon Brommer, Timo Vuorisalo (University of Turku), Lauri Rapeli (Åbo Akademi University), Patrik Karell (NOVIA University of Applied Science), Heikki Helanterä (University of Oulu)
Form of employment: The doctoral candidate recruited for this position will be paid a non-negotiable grant of €28,800/year during four years, for which approximately 14% is to be paid as compulsory social charges (see https://www.mela.fi/en/grant-and-scholarship-recipients/premiums-and-invoicing/myel-premium-amount) and of which some part is taxed (see www.vero.fi).
Extent: 100 %
Starting date: Preferably April 1, 2019 (negotiable)
Application: No later than 28 February 2019. The application is electronic. The link
https://link.webropolsurveys.com/Participation/Public/89f44ebc-1513-47d9-99aa-d56a1499470d?displayId=Fin1697657
will take you to a form where you are asked to fill in your contact information, provide names and E-mail addresses of two persons who can provide a reference for you and where you can attach your diploma, CV, and a letter of motivation where you describe why you would be a suitable candidate for the position. Your application will be temporarily stored for the sole purpose of recruiting the position advertised here; it will not be shared with others than the LuHa workgroup members and will be permanently deleted after recruitment is concluded.
Contact person: Associate professor Jon Brommer (jon.brommer@utu.fi), University of Turku; Associate professor Heikki Helanterä (heikki.helantera@oulu.fi), University of Oulu.
