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A vertical farming company is seeking an experienced R&D Project Engineer to lead the SUSTAIN project, bridging engineering, agronomy, and data science. The ideal candidate will manage project coordination, collaborate on product development, and lead data analysis for innovative agricultural solutions. Candidates should have a Master's degree in Engineering, at least 3 years of relevant experience, and proficiency in Python and CAD software. This role is pivotal in enhancing agricultural productivity sustainably.
Agricola Moderna is a Vertical Farming company which is growing food for a better future by revolutionising agriculture. In our modern farming company we control the entire process from seed to store. Our farms use zero pesticides, 95% less water, and are 100+ times more productive on the same footprint of land than traditional agriculture. Agricola Moderna has developed a recognized brand by developing products that are better for the customer and the environment. Today, the company is formed by a multi-disciplined team with a strong R&D focus, including plant scientists, growers, data scientists, and engineers.
Agricola Moderna currently operates a > 1 hectare, highly automated facility producing teen leaf salads sold to supermarkets and online grocery stores. Our phenotyping platform monitors variables driving plant growth 24/7, creating vast amounts of rich data and enabling data-driven continuous improvement towards an increasingly efficient growing model.
Agricola Moderna is Host Institution of SUSTAIN, a large, multi-year cutting-edge European project funded by the PNRR, developed in partnership with Politecnico di Milano and Università degli Studi di Milano, aimed at developing novel synthetic substrate-tray solutions to boost vegetable yield while reducing operating costs and environmental impact.
We are looking for an experienced R&D Project Engineer to join the Agricola Moderna Tech team and lead the implementation of the SUSTAIN project. The ideal candidate will bridge the gap between engineering, agronomy, and data science, supporting the project both technically and operationally.