Demonstrable practical experience in an agronomy context (project, internship, working student role, thesis components). 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 already applied LCA/PCF in practice — including an LCA tool and an LCA database (e.g., openLCA + ecoinvent) * Support Impact Assessment & Interpretation (e.g., hotspot analysis, scenario/sensitivity thinking, results preparation). * Use LCA databases (e.g., ecoinvent or equivalent) and handle datasets/method packages/versions in a structured way. o Practical experience with at least one LCA database (e.g., ecoinvent or equivalent). o AI affinity (e.g. for research and data management)
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