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Postdoctoral researcher in geospatial agricultural biomass resource optimization and decision-support platform development
You will be welcomed at BioEcoAgro (https://www.bioecoagro.eu/), based in Laon, France. The postdoctoral position is part of the Chaire de Professeur Junior (CPJ) research program led by Shule Wang at INRAE, which aims to develop an integrated territorial planning framework for future agricultural biomass mobilization and bioeconomy deployment. The project focuses primarily on agricultural biomass resources derived from crop modeling, in particular scenario-based outputs from agronomic models such as STICS, and seeks to connect these data with conversion pathway assessment, regional logistics, and decision-support tools for territorial and agricultural planning.Your work will contribute to the development of a modular computational platform able to translate crop-model-derived biomass outputs into planning-relevant information. The platform will integrate spatially explicit agricultural biomass availability, pathway compatibility, transport and logistics constraints, and environmental, techno-economic, policy, and social considerations in order to support regional scenario exploration and optimization. Other biomass residue streams may be included as complementary inputs through existing external datasets, but the core of the project is future agricultural biomass and its role in regional planning.The transition towards a sustainable and climate-oriented bioeconomy requires not only reliable projections of future agricultural biomass quantity, type, location, and temporal availability, but also robust methods to evaluate how these resources can be mobilized and allocated across competing end uses under realistic constraints. The postdoctoral researcher will therefore lead the computational integration and platform development aspects of the project, in close interaction with a PhD project dedicated to the detailed methodological development of key planning components.You will be in charge of:Developing a modular computational platform for territorial planning based on crop-model-derived agricultural biomass datasets; Integrating and harmonizing agronomic, spatial, logistical, and pathway-related datasets using Python and GIS-based workflows; Supporting the modeling integration of a PhD project by connecting its methodological components within the overall computational framework; Designing and implementing optimization models for biomass allocation, supply chain configuration, and regional scenario analysis, using approaches including but not limited to MILP and MINLP depending on the requirements of the final framework; Contributing to the representation and integration of environmental, techno-economic, policy, and social constraints within the decision-support framework; Contributing to scientific publications, project reports, and presentations at national and international meetings. Supervision: Shule Wang (INRAE, BioEcoAgro). The postdoctoral researcher will work in close interaction with colleagues and collaborators involved in agronomic systems modeling, spatial analysis, sustainability assessment, and territorial bioeconomy research within BioEcoAgro and partner institutions. Received applications will be reviewed on a rolling basis, and candidates are encouraged to apply early, as administrative procedures for the selected candidate may require additional lead time prior to the planned start date.
