About Agricola ModernaAgricola Moderna is a vertical farming company growing food for a better future by revolutionising agriculture. The company controls the entire process from seed to store, uses zero pesticides, 95% less water, and produces 100+ times more yield on the same footprint than traditional agriculture. It has a multi‐disciplined R&D team of plant scientists, growers, data scientists and engineers.Our FacilityAgricola Moderna operates a >1 hectare highly automated facility producing teen leaf salads sold to supermarkets and online grocery stores. Its phenotyping platform monitors variables driving plant growth 24/7, creating vast amounts of rich data and enabling data‐driven continuous improvement.SUSTAIN ProjectAgricola Moderna is host institution of SUSTAIN, a large, multi‐year cutting‐edge European project funded by the PNRR and developed with Politecnico di Milano and Università degli Studi di Milano. The project aims to develop novel synthetic substrate‐tray solutions to boost vegetable yield while reducing operating costs and environmental impact.Role OverviewWe are looking for an experienced R&D Project Engineer to 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.What You'll DoProject Management: Lead the technical and managerial coordination of the SUSTAIN project, ensuring alignment with academic partners and funding requirements.Product Development: Collaborate with university partners in the design, 3D modelling and development of innovative, recyclable synthetic substrates.Experimental Planning: Work alongside agronomists to plan and execute experiments involving leafy vegetables, fruit vegetables and aromatic plants.Data Analysis Leadership: Lead the data analysis process for the project, developing mathematical and statistical models to interpret experimental results.Automation Integration: Manage collaborations with partner companies to develop ad‐hoc automation solutions for the new substrate system.Continuous Improvement: Support the internal team in optimising current production processes through advanced data analysis and process engineering.What You HaveEducation: Master's degree in Engineering or a related technical field, preferably with an agritech curriculum.Experience: 3+ years in a multidisciplinary R&D or engineering role.Programming Skills: Proven experience in Python programming, specifically with scientific libraries (NumPy, Pandas, SciPy).Other Technical Skills: Proficiency in 3D design software (CAD/CAM) and experience in computer vision are preferential assets.Modeling: Ability to develop and apply mathematical and statistical models to complex biological or industrial systems.Mindset: Strong attitude for complex problem‐solving and a proactive approach to multidisciplinary challenges.LocationVolpiano, Italia.
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