The Geography Department at Humboldt-Universität zu Berlin is looking for highly qualified and motivated candidates for PhD and Postdoc positions. Successful applicants will join the newly established Biodiversity Modelling lab headed by Dr. Damaris Zurell (https://damariszurell.github.io) and will contribute to the DFG-funded Emmy Noether research project “BIOPIC – Disentangling the effects of demography, dispersal and biotic interactions on population and community response to global change”.
The project aims at improving the scientific basis for model-based biodiversity assessments and increasing reliability of biodiversity predictions for broad spatial scales. Together, we will develop an integrated modelling framework able to disentangle the complex roles of demography, dispersal and biotic interactions in shaping species niches, and assess their effects on population and community response to global change. The framework and its single components will be validated using a mix of simulated and empirical data, and it will be operationalized for avian communities.
Position 1 – PhD in modelling species interactions (Reference number DR/013/18): to work on improving our understanding how biotic interactions shape species’ niches. The PhD candidate will mainly work with joint species distribution models (JSDMs). Using empirical data, you will test spatial scale dependence of JSDMs as well as spatiotemporal variation in species interactions. You will also implement dynamic models of multi-species interactions to test the ability of JSDMs to detect interspecific interactions from co-occurrence and coabundance as well as trait data.
Position 2 – PhD in modelling range dynamics (Reference number DR/014/18): to work on improving our understanding how life history and demography shape species’ niches. The PhD candidate will implement a generic framework for dynamic distribution modelling to predict spatial distribution of species as well as local population dynamics. A key component will be to develop workflows for identifying and modelling key life stages in birds and other animals, and for assigning stage-specific demographic response functions in the dynamic modelling framework.
Position 3 – Postdoc in dispersal modelling (Reference number DR/015/18): to work on
improving our understanding how life history and individual variation shape dispersal. The postdoc will be responsible for obtaining and processing ring recovery data for European breeding birds, for conducting meta-analyses on dispersal and demographic data across Europe, for building (natal and breeding) dispersal kernels and assessing spatial and functional variation in dispersal.
Candidates should have an above average MSc (positions 1-2) or PhD degree (position 3) in a relevant field (ecology, geoecology, geography), be highly self-motivated and able to work in a dynamic team. We expect strong quantitative skills in statistics and computer modelling (R, C++), and previous experience in analyses of large biodiversity data sets and spatial data analyses. Background in biodiversity theory, avian ecology, species distribution modelling, Bayesian statistics, population modelling, individual-based modelling and/or ecological network analysis, as well as experience with high performance clusters, is advantageous. Candidates should also show strong writing and verbal communication skills. We expect successful candidates to write scientific papers on the project in internationally peer-reviewed journals, and to present the research at national and international meetings. Working language is English.
Deadline for application is 9 March 2018
Please send your complete application including the reference number,
a letter of motivation, full CV, publication list, and contact details for two references electronically and in a single PDF file to Dr. Damaris Zurell email@example.com ). The reference number must be included in the subject line of your email. Please visit our website http://www.hu-berlin.de/stellenangebote for access to the legally binding German version.
For more details on this opportunity please read this document.
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