Contribute (and partly work independently) to Goal & Scope: system boundaries, functional unit, assumptions, data quality requirements. * Translate agronomic practices/parameters into LCA-ready data structures (inputs, processes, assumptions, data quality). This working student role is designed for candidates with a strong agronomy background (e.g., cropping systems, soil & nutrients, field trials, farm/field data, AgTech/precision farming) who want to translate agronomic reality into agribusiness-relevant insights — with LCA/PCF as the methodological core. * have hands-on agronomy experience (field trials, agronomic datasets, inputs & practices, farm/field data) 1) LCA/PCF modelling & data work * Build and improve Life Cycle Inventories (LCI), including data collection, plausibility checks, and structured documentation (materials, energy, emissions, waste). 4) Data craft & languages
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