Key Skills

Job Description

Lay the groundwork for tomorrow with Kubota! Since 1890, Kubota has evolved in a unique way worldwide. With a strong will to solve problems in food, water and the environment, we have leveraged our strength as a manufacturer and a solutions provider. Spanning across 120+ countries and employing more than 50,000 people in Asia, Europe and North America, Kubota generates revenue in excess of $20 billion. From agricultural and industrial machinery, and overall water solutions, to any other living environment solution, our question, and our challenge was always the same: what can we do to meet the demands and enhance our lives for tomorrow? Explore this exciting career opportunity and join us on the journey as we seek to be an “Essentials Innovator for Supporting Life”. My job, Our future As a Precision Farming Research Intern, you will contribute to the development of innovative methods and technologies for precision agriculture in orchards/vineyards. This role covers a broad spectrum of activities, including algorithm design, software development, digital twin development, simulation, and optimization of agricultural operations. The objective is to improve the productivity, efficiency, and sustainability of Kubota's agricultural machinery and digital farming solutions. This internship offers a unique opportunity to work on cutting-edge research projects and help shape the future of precision farming. Position within the Organization You will work as part of the Kubota Technology Innovation Europe (KTI-EU) team, contributing to research and development projects under the guidance of experienced research engineers and scientists. KTI-EU focuses on the development of innovative digital solutions, intelligent systems, and advanced technologies that support the future of agriculture. Responsibilities As a Precision Farming Research Intern, you will: Analyze agricultural datasets (e.g., imagery, point clouds, GPS, and geospatial data) to characterize field variability and crop conditions. Develop algorithms and digital twin models to support precision agriculture applications in orchards. Simulate and optimize agricultural operations, including machinery performance, route planning, and input application strategies. Develop software prototypes and user interfaces to support research outcomes and decision-making tools. Design and support field experiments to validate models, algorithms, and operational concepts. Communicate research outcomes through reports, presentations, and technical discussions with colleagues and project stakeholders. Work Environment Based at Kubota's office in Nieuw-Vennep, The Netherlands. Hybrid working arrangements are possible, with several days per week spent in the office (flexible and negotiable). Opportunity to collaborate with researchers and engineers working on innovative agricultural technologies. What We Offer Hands-on experience in applied research and development within a global agricultural technology company. Mentorship from experienced researchers and engineers. Exposure to advanced technologies in precision farming, robotics, geospatial analytics, and digital agriculture. The opportunity to contribute to real-world solutions that improve agricultural productivity and sustainability. Skills & Requirements Requirements Currently pursuing a BSc, MSc, or PhD in Agricultural/Biosystems Engineering, Computer Science, Geographic Information Science (GIS), Remote Sensing, Robotics, Data Science, or a related field. Available for an internship period of at least 4 months. Strong interest in Precision Agriculture and agricultural technologies. Knowledge of Geographic Information Science (GIS), geospatial data processing, or related technologies. Experience with Python programming and version control using Git. Strong analytical and problem-solving skills. Ability to work independently as well as collaboratively in a multidisciplinary team. Language skills Fluent in English, both written and spoken.

Core Responsibilities

The intern will develop algorithms, digital twin models, and software prototypes to optimize precision farming operations in orchards and vineyards. Responsibilities include analyzing agricultural datasets and designing field experiments to validate research outcomes.

Requirements

Candidates must be pursuing a BSc, MSc, or PhD in fields such as Agricultural Engineering, Computer Science, or Data Science. Proficiency in Python, Git, and GIS technologies is required, along with fluency in English.

Benefits

• Hands-on experience in applied research and development
• Mentorship from experienced researchers and engineers
• Exposure to advanced technologies