• A Bachelor’s degree in Crop Science or equivalent;
• Research, field trials, or innovation project experience
• A solid understanding of crop physiology, agronomy, and crop management practices;
• Willingness to participate in field-based research and experimental trials and
• Ability to work independently and within multidisciplinary research teams.

Skills and Competences

• Strong observational, analytical and problem-solving skills;
• Exposure to AI, data analytics, remote sensing, or HIS applications in agriculture;
• Familiarity with sensors, drones, or automated agricultural equipment and
• Basic programming or data analysis skills (Python, R, MATLAB).

 Duties and Responsibilities

• Supporting research projects in crop production, precision agriculture, and smart farming systems.
• Assisting in field and laboratory experiments related to crop growth, soil health, and yield assessment,
• Collecting, managing, and analysing agronomic and environmental data (field, sensor or image based),
• Supporting deployment and testing of AI-driven and robotic agricultural systems (e.g. field robots, drones, automated monitoring tools),
• Assisting in calibrating, validating, and evaluating of intelligent farming technologies,
• Conducting literature reviews in crop science, agritech, AI, and agricultural robotics,
• Contributing to technical reports, research publications, and presentations,
• Collaborating with AI researchers, engineers, roboticists and agricultural experts,
• Ensuring compliance with agricultural, environmental and safety standards during field work.