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23 hours ago
We are seeking a highly skilled POSTDOCTORAL RESEARCHER in statistical ecology for a fixed term of two years, with a trial period of six months at the beginning. This position is part of the Research Centre for Ecological Change, funded by the Jane and Aatos Erkko Foundation.
The Centre aims to create a coordinated analysis of long-term ecological data to understand the impact of global change. Our project uses unique long-term datasets collected in Finland and develops advanced methodology for analysing long-term spatially structured data sets within a joint species distribution modeling framework.
The post doc will collaborate in the development of statistical methods for analyzing long-term ecological data and in statistical analyzes within the Research Centre for Ecological Change. Methodological work focuses on Hierarchical Modelling of Species Communities (HMSC) and hierarchical multivariate Gaussian processes. HMSC is a joint species distribution modelling framework that can be used for the statistical analysis of data on species occurrence, environmental covariates, functional traits and phylogenetic relationships.
The ideal candidate should possess a doctoral degree in ecology, statistics or other relevant field and experience in the application of Bayesian methods for computationally demanding problems. A successful candidate will also have experience in scientific computing. Prior experience in ecology is not required but is considered advantageous.
The compensation includes a salary based on level 5 – 6 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. The starting salary will be approximately 3300 – 3800 euros/month, dependent on the appointee's qualifications and experience.
Applicants should submit a motivational letter (max 1 page), CV (max 2 pages), and publication list as a single pdf file. Additionally, please include contact information of two persons willing to provide a reference letter by separate request.
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Ecological Researcher in Bayesian Methods
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Data Analyst
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Helsinki, Uusimaa, Finland The International Society for Bayesian Analysis Full timeAbout the PositionWe are looking for a highly skilled researcher with expertise in statistical and computational methods.The ideal candidate will have experience with Bayesian hierarchical multivariate spatio-temporal models and predictive model comparison methods within the joint species distribution modeling (JSDM) framework.
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Helsinki, Uusimaa, Finland The International Society for Bayesian Analysis Full timePost-doc Researcher Positions in Statistics and Machine LearningWe are seeking highly qualified postdoctoral researchers to join our team at the Research Centre for Ecological Change (REC). The positions involve developing and applying statistical models and machine learning algorithms to address pressing challenges in ecology and environmental science.Key...
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