3 dagen geleden - Erasmus Universiteit Rotterdam - Rotterdam
Job description We are expanding our team of Business Information Management faculty members to complement our ongoing research into this increasingly …
The post-doc will model the linkage between wintering grounds, stopover sites and breeding grounds of pink-footed geese by using an agent-based simulation …
The post-doc will model the linkage between wintering grounds, stopover sites and breeding grounds of pink-footed geese by using an agent-based simulation approach. Specifically, “false exclusions” are avoided by including all relevant mechanisms instead of attempting to make the most parsimonious model. The model will be based on the ALMaSS system that covers the Danish site. In this project, three new modules will be developed for this model, namely for the breeding grounds on Svalbard, for the two Norwegian stopover sites, and (possibly) for the wintering grounds in the Netherlands and Flanders.
When completed and tested as modules the whole model will be linked to provide a model of the whole annual cycle, using resource dynamics and weather conditions to drive demographic changes and predict pressure on the migratory behaviour. This will be done with a highly detailed agent-based simulation in all modelled locations, linked dynamically using a parallel computing approach. The strength of this approach is that it mechanistically links the spatio-temporal dynamics of resources to the ecology of the individual goose. Interactions and feedbacks emerge from the mechanisms within the model providing a complete system in which consequences of future changes in resources, climate or management can be evaluated.
The project is carried out in close co-operation with Aarhus University. The key to success is to test the models linking predictions to real world data. In this case, the project team has access to a large ringing data set in addition to tracking data collected by a PhD in this project, to test model performance.
The post-doc will also be involved in the extension of an existing depletion model to try and relate goose numbers to agricultural damage.
We are looking for
A creative, enthusiastic and ambitious researcher, with a PhD degree, who has:
Additional information about this position is available upon request from prof. dr. Bart Nolet (email@example.com; +31-(0)317-473448/00).