Precision Farming Research Internship

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Precision Farming Research Internship at Kubota Holdings Europe invites a student or researcher to contribute to precision agriculture methods in orchards and vineyards, spanning algorithm design, software and digital twin development, simulation, and optimization of field operations. You will join the Kubota Technology Innovation Europe team, working under experienced engineers on cutting edge digital agriculture projects with hybrid work from Nieuw-Vennep. To apply, emphasize GIS and geospatial data experience, Python and Git proficiency, and any projects in machine learning, computer vision, or digital twins; illustrate field experiments and results, show both independent initiative and teamwork, and highlight impact on productivity and sustainability. Include a portfolio or links, availability for at least 4 months, and English fluency.

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.

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.