Postdoctoral Researcher - Agroecosystem Modelling and Digital ...
Core
Develop field- and farm-scale agroecosystem digital twins by fusing advanced sensing technologies with process-based and data-driven models to simulate water, carbon, nutrient, and energy fluxes.
Role type
Postdoctoral Researcher (Agroecosystem Modelling & Digital Twins)
Builds
Agroecosystem digital twins for investigating crop performance and ecosystem functions under different management options
Domain
Environmental sciences / Agricultural sciences / Computational sciences / Hydrological modelling
Deliverable
research
Required skills
Process-based modelling, Model-data fusion, Data assimilation, Scientific computing, Python, Fortran, Linux/UNIX environments, Parallel computing
Preferred skills
High-performance computing, Additional programming languages
Responsibilities
Develop and apply the AgroC agroecosystem model, Integrate AgroC with the Parallel Data Assimilation Framework (PDAF), Develop workflows for integrating near-real-time observations, Apply data-driven and hybrid modelling approaches, Collaborate with scientists and doctoral researchers, Disseminate research results through publications and presentations
