Ph3Overview /h3pAgricola 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 RD focus, including plant scientists, growers, data scientists, and engineers. /ppAgricola 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. /ppAgricola 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. /ph3The Role /h3pWe are looking for an experienced bRD Project Engineer /bto 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. /ph3What You'll Do /h3ullibProject Management: /bLead the technical and managerial coordination of the SUSTAIN project, ensuring alignment with academic partners and funding requirements. /lilibProduct Development: /bCollaborate with university partners in the design, 3D modeling, and development of innovative, recyclable synthetic substrates. /lilibExperimental Planning: /bWork alongside agronomists to plan and execute experiments involving leafy vegetables, fruit vegetables, and aromatic plants. /lilibData Analysis Leadership: /bLead the data analysis process for the project, developing mathematical and statistical models to interpret experimental results. /lilibAutomation Integration: /bManage collaborations with partner companies to develop ad-hoc automation solutions for the new substrate system. /lilibContinuous Improvement: /bSupport the internal team in optimising current production processes through advanced data analysis and process engineering. /li /ulh3What You Have /h3ullibEducation: /bMaster's degree in Engineering or a related technical field. A curriculum including Agritech elements is preferred. /lilibExperience: /b3+ years of experience in a multidisciplinary RD or engineering role. /lilibProgramming Skills: /bProven experience in Python programming, specifically with scientific libraries (e.g., NumPy, Pandas, SciPy) for data analysis. /lilibOther Technical Skills: /bProficiency in 3D design software (CAD/CAM) and experience in Computer Vision are preferential assets. /lilibModeling: /bAbility to develop and apply mathematical and statistical models to complex biological or industrial systems. /lilibMindset: /bStrong attitude for complex problem-solving and a proactive approach to multidisciplinary challenges. /li /ul /p #J-18808-Ljbffr