The Research Group of Associate Professor Jarno Vanhatalo seeks three post-doctoral researchers for an ERC funded Consolidator Grant project “Predictive Understanding of the effects of Global Change on Ecological Communities and Ecosystem Functions – BEFPREDICT”. Two of these positions are in statistics
A post-doctoral researcher for a three-year position in ecological statistics
We are seeking a postdoctoral researcher to develop tools for analyzing and mapping large scale biodiversity and ecosystem function data with multivariate statistical models and methods. Our approach is based on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. The work focuses specifically on extending and tailoring the so-called joint species distribution modeling (JSDM) framework to match our research questions. JSDMs are multivariate models and among the most important statistical tools in community ecology today. The candidate is also expected to contribute to developing novel predictive model comparison and assessment methods and in analyses of large ecological data sets in collaboration with other researchers of this project (see the other postdoc positions in this call). Opportunities for professional development, e.g. in project management, leadership, mentoring, teaching and grant writing, are available and encouraged.
A post-doctoral researcher for a three-year position in statistics
We are seeking a postdoctoral researcher to develop tools for comparing and validating large scale, multivariate, spatiotemporal statistical models. Our approach is based on Bayesian predictive and decision theoretic approach, which allows us to conceptualize model comparison and assessment to meet the specific requirements of our predictive and analytical aims. The work focuses on developing proper scoring rules and other utility functions, and cross-validation methods tailored for the predictive scenarios of the project. We are specifically interested in model comparison and assessment methods that match complex spatial and temporal multivariate predictive scenarios. The candidate is also expected to contribute to developing novel hierarchical Bayesian models and in analyses of large ecological data sets in collaboration with other researchers of this project (see the other postdoc positions in this call). Opportunities for professional development, e.g. in project management, leadership, mentoring, teaching and grant writing, are available and encouraged.
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