The Land Use and Climate Change Research Group of the Karlsruhe Institute of Technology (https://landchange.imk-ifu.kit.edu/) is seeking a postdoctoral researcher in the field of land use change modelling. You will work within a newly funded research project on Integrating socio‐technological and ecological land‐based solutions for climate change mitigation in the food and energy systems (ISoTEc‐Land). Your specific roles will be to contribute to the application of a novel agent-based model of land use change at the global scale, and the development of a new model of large-scale, solar panel placement. The position is available from 1 May 2021 for 18 months, with the potential for extension beyond this period subject to performance and funding. The position will also entail some contribution to teaching and group administration. The position holder will be located at KITs attractive Alpine Campus in Garmisch-Partenkirchen, Germany. Salary will be equivalent to the public service TV-L EG13, depending on qualifications and experience.
You will have a PhD degree in a relevant discipline (or equivalent experience) and strong quantitative skills in computer modelling and the analysis of large-scale datasets in the environmental sciences (GIS experience alone is insufficient). Experience with statistical analysis, scenario analysis, ecological economics, computational social sciences and/or computer programming is desirable. You will need to have proficiency in the English language, both spoken and in writing. Further information can be obtained from Prof. Mark Rounsevell (email@example.com).
Applications should be sent by email to Prof Mark Rounsevell (firstname.lastname@example.org) by Friday 22 January 2021, quoting the reference, ISoTEc-Land. Applications should be submitted within a single PDF document that includes your CV, publications list (with citations), a short (1-2 page) letter of motivation and contact details for 2 referees. The motivation letter should clearly state how your research interests relate to the job specification provided above. Applications that are incomplete or do not address these criteria will not be considered.
Interviews will be held remotely on Monday 1 February 2021.
KIT strives to achieve gender balance at all levels of employment. We therefore particularly encourage female candidates to apply for this position. With appropriate qualifications, applications from persons with handicaps are treated preferentially.
SESMO (Socio-Environmental Systems Modelling www.sesmo.org) is an open access journal with the objective to progress our understanding, learning and decision making on major socio-environmental issues using advances in model-grounded processes that engage with institutional and governance contexts, cross-sectoral and scale challenges, and stakeholder perspectives.
SESMO is launching a call for a thematic issue on large-scale behavioural models of land use change. We are calling for contributions of scholars intending to present their latest research results on this topic.
The expected deadline for the submission of the contribution is the end of June 2021.
The Editor-in-chief is Tony Jakeman, and the guest editors of this special issue are:
Follow the link to get more information on the scope and objectives of this call for papers
Outline: Human activity is fundamentally reshaping the dynamics of the Earth System, with consequences that pose existential challenges to societies and ecosystems. Efforts to address these challenges of the Anthropocene era increasingly rely on computational models that simulate the cross-scale interactions of social, economic and environmental processes. For instance, land use and land use change, from field to global scales, result from decisions taken by individuals and shaped by social institutions, which rely on natural systems dynamics at various scales. However, today’s analyses of future changes in the Earth System provide scant detail about the basic processes underlying these changes. Human agency is reduced to economic determinism and scenario-based assumptions in selecting between land use options, while ecosystem dynamics are approximated at highly aggregate levels that obscure crucial interactions. These shortcomings seriously undermine the search for realistic, robust strategies to mitigate or adapt to global environmental change.
A number of different approaches have been proposed for better understanding and modelling of cross-scale dynamics in coupled social-ecological systems. In particular, a clear need has been identified by the research community for a new generation of large-scale (continental to global) land use models that are based on human behavior, agency and behaviorally-rich representation of decision-making processes. Such models could be linked with large-scale biophysical models as well as mechanistic ecological models, but must first overcome the difficulties of identifying and simulating key cross-scale socio-ecological processes. Particularly challenging is the question of how to upscale locally-based models of human decision-making or whether to try and create “models of everywhere”. Only once these methodological challenges have been overcome will we be able to identify realistic pathways to sustainability that account for fundamental processes in human and natural systems in uncertain future conditions.
For this Thematic Issue, we welcome contributions dedicated to the better understanding and modelling of temporal or spatial scales in land use dynamics. These contributions can present theoretical or empirical analyses, methodological contributions, or relevant model developments, and will together build towards a robust agenda for future research in this field. Articles in the Thematic Issue could focus on:
- Case study-based empirical research on land use dynamics, explicitly tackling different social scales;
- Methodological contributions on the investigation and modelling of cross-scale dynamics (up-scaling and down-scaling methods);
- Modelling of land use dynamics across scales and at large (continental-global) scales accounting for human agency;
- New methods to link models covering different scales and human or natural systems;
- Approaches to integrate behaviourally rich representation of human agency in large-scale models;
- Representation of an interplay between individual decisions and social institutions (formal or informal) in land use change models;
- Up-scaling of heterogeneity of individual decision strategies and local institutional contexts from case studies to larger geographical scales;
The Thematic Issue is supported by the joint GLP/AIMES Working Group on large scale behavioural models of land use change (https://glp.earth/how-we-work/working-groups/large-scale-behavioural-models-land-use-change) and the Human Dimensions Focus Research Group of the CSDMS (https://csdms.colorado.edu/wiki/Anthropocene_Focus_Research_Group)