Ecoinformatics in the framework of DIVGRASS project

Type de poste
Durée du poste
Contrat renouvelable
Contrat non renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce

CESAB (CEnter for Synthesis and Analysis on Biodiversity)
Grenoble or Montpellier

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This position is open in the framework of DIVGRASS, a funded project that aims to assemble, analyze and share data on plant functional diversity to understand the effects of biodiversity on ecosystem functioning. The project focuses on French grasslands. The DIVGRASS project is funded by the CESAB (CEnter for Synthesis and Analysis on Biodiversity), a French initiative run by the French Foundation for Research on Biodiversity (FRB) to promote high level research activities devoted to syntheses of ideas and/or data analyses in the field of biodiversity. The DIVGRASS consortium includes 10 partners with leading expertise in grassland ecology, plant functional ecology, soil science, ecosystem modeling and statistics, as well as botanical experts who manage French national flora data bases. Conducting statistical analyses on very large data sets constitutes a major roadblock in ecology. We expect the successful candidate to have a particular motivation and expertise in: 1. Developing and implementing efficient algorithms to manipulate very large sparse matrices (typically with 10^5 rows and 10^4 columns) 2. Using graph partitioning methods (spectral graph partitioning, random walks on graphs) or other clustering methods to analyze ecological data sets. We also expect the postdoctoral associate to work in close collaboration with the CESAB staff involved in the development of the databases needed for the project. Applicants should hold a Ph.D. in informatics, applied statistics and a corresponding international publication record. A solid background in data mining and data analysis is required. The position implies a strong research component and we expect the hired person to take the lead of one of two key papers of the project. An expertise and/or willingness in working with environmental scientists will be appreciated but is not mandatory. Proficiency in French or willingness to learn French for non-native speakers will be appreciated.