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The FRB was created in 2008 and brings together public research organisations, environmental associations, managers of spaces and biological resources, as well as companies.
It is a point of convergence between science and society, around the challenges facing biodiversity research today.

 

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There are currently no vacancies. However, if you are interested in working for the FRB, please send your CV to the secretariat. 

Post-doctoral fellowship for the FREB-CESAB project AGRI-TE

Salary: 27-37 K€ (gross salary)
Duration: 18 months from 1st January/February 2021
Closing date: the position will remain open until filled by a suitable candidate
 
See the full job description here
Context
Agriculture is the largest managed biome, with potential for agro-ecological transitions to play a crucial role in sustaining biodiversity, mitigating climate change and ensuring food security. Comprehensive evidence-based information on the multi-dimensional impacts of various agricultural practices can support decision-makers select effective transition pathways. Yet, currently no such global synthesis exists despite the abundant literature on agro-ecological systems. The fragmented evidence, its heterogeneous quality, and the tendency for existing reviews to focus on singular outcomes, prevent a global overview of the potential limits and benefits of a transition to more agroecological practices. See the full description of the project AGRI-TE here. 
Aims and method
We propose to systematically synthetize quantitative evidence of the effect of the main agroecological systems (e.g. agroforestry, organic agriculture, conservation agriculture) on multiple performance criteria including biodiversity (across a wide range of taxonomic and functional groups), production, nutritional and economic outcomes. Precisely, we will synthesize agroecological system performance metrics from approximately 500 meta-analyses through a novel and state-of-the-art methodological approach. Since each meta-analysis typically includes hundreds of data, this approach will allow us to synthesize a large amount of data (tens of thousands of data) from a relatively limited number of scientific papers (Tang et al., 2013). The proposed method considers all possible bias (e.g. heterogeneous quality of the meta-analyses, redundancy of primary studies) and precisely considers the between-study variability of the results.
 
Three types of results are expected:
  • Quantification of system performance and environmental impacts to precisely inform decision makers from the largest evidence-based assessment ever produced;
  • Spatially explicit global biodiversity indices (e.g. affinity indices – Gerstner et al., 2014; Biodiversity Intactness Index – Newbold et al, 2015, to map the change in biodiversity when
    conventional agricultural practices shift towards agro-ecological ones.
  • An evidence map (Katz, et al., 2003) to guide future research.
Requirements
Applicants should hold a PhD in agronomy, ecology or associated topics and have experience in one or several of the following subjects: data mining, statistical modelling, machine learning, systematic review, meta-analyses.
 
Furthermore, applicants should have:
  • strong analytical skills to work with large and multiple datasets,
  • experience in scientific literature review,
  • good knowledge of standard statistical methods,
  • good knowledge of R,
  • a proven ability to work in a team and network in an international environment
Working environment
The 18 month-post-doc will be based at CIRAD, Baillarguet campus in Montpellier, France, within the Hortsys lab. The job holder will be under the direct supervision of D. Beillouin. An international steering committee has been set up to train and assist the fellowship during the various stages of the work (incl. specialists in meta-analyses, statistical analyses, agronomy, ecology, and life cycle assessment). The post-doc is supported, financed and will benefit from the methodological support of the FRB, CESAB and the AgroPolis foundation. The post-doc will benefit from the strong interactions between these institutions, based on regular visits to the different teams participating to the project.
How to apply
Applicants should submit a complete application package by email to Damien Beillouin (damien.beillouin@cirad.fr), which should include (1) a curriculum vitae including relevant
publications, (2) a cover letter explaining your motivations for applying, and (3) names, addresses, phone numbers, and email addresses of at least two references.