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Stockholm Resilience Centre
Saturday, November 30, 2019
Saturday, February 1, 2020
The Stockholm Resilience Centre at Stockholm University is a leading international centre in sustainability science for biosphere stewardship.
The MuSES project (Towards middle-range theory of the co-evolutionary dynamics of multi-level social-ecological systems (SES)) is an interdisciplinary five-year project funded by an ERC consolidator grant. It aims to identify social-ecological mechanisms of food system sustainability and resilience with a particular focus on cross-scale interactions in marine and terrestrial food production systems. We combine empirical research with dynamic modelling in collaborative processes to explore and explain how social-ecological interactions within and across scales give rise to different social-ecological outcomes.
In its first half, the project focused on networks and dynamics of cross-scale trade-relations in small-scale fisheries and cross-level cooperation in natural resource use. In its second half, emphasis will be put on cross-scale trade or donor interactions in agricultural systems as well as mechanisms of policy adaption. The overall aim of the project is to contribute to the development of theory of social-ecological change.
The selected candidate will be part of the MuSES project and work in an interdisciplinary team that includes modelers, empirical researchers from the social and natural sciences and philosophers (www.seslink.org). He/she will lead research on the development of an agent-based model of cross-scale interactions in agricultural food systems in a developing world context in close cooperation with empirical researchers within the project, at SRC and beyond.
The research involves leading the development of an empirically realistic but stylized agent-based model of food system sustainability with a focus on selected cross-scale interactions such as patron-client relationships between farmers and traders or international donor interventions. The purpose of the model is to identify critical social-ecological interactions that enable sustainable food production or that support a transitions towards more sustainable pathways. A key responsibility will be to integrate existing empirical knowledge into the design of the model and analyse the model to unravel the causal processes and conditions that may explain variation in outcomes. Another responsibility is to contribute to the development and analysis of social-ecological models within the team. It is expected that the candidate engages in joint activities of the team and generates research articles that push the frontiers of studying SES as complex adaptive systems of humans embedded in ecosystems.
Applicants must meet the following criteria:
The following additional criteria are particularly desirable:
Terms of employment
The position involves full-time employment for two years. Start date as per agreement but desirably no later than February 2020.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
For information about the research position and the project, please contact Dr. Maja Schlüter (SRC), email@example.com, telephone: +46 73 4604910. For general information about SRC, contact Director Line Gordon, firstname.lastname@example.org.
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, email@example.com, Alejandra Pizarro Carrasco (Fackförbundet ST/Lärarförbundet), telephone: +46 8 16 34 89, firstname.lastname@example.org, and email@example.com (SEKO).
Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.
Please include the following information with your application
and, in addition, please include the following documents
The instructions for applicants are available at: Instructions – Applicants.
You are welcome to apply!
Stockholm University – our education and research produce results.
Dr. Maja Schlueter