Digital models for weeding robots
[Open soon]
Work description
Within the scope of the AgroBoost project, INESC TEC will develop a robotic solution for weeding operations in an orchard setting, based on the Modular-X robotic platform. The work will focus on the study, development, and validation of digital models capable of supporting the robot's perception, decision-making, and actions in this type of task. The activities will be developed in conjunction with INIAV, using experimental orchards of that institution as the application context.
Academic Qualifications
Master's degree in Agricultural Engineering or related field.
Minimum profile required
Master's degree in Agricultural Engineering or related field.Enrollment in a doctoral program.
Preference factors
Experience in developing digital models applied to agriculture. Knowledge of computer vision, image processing, or deep learning. Previous experience in precision agriculture, agricultural robotics, or remote sensing.
Application Period
Since 09 Apr 2026 to 22 Apr 2026
[Open soon]
Centre
Robotics in Industry and Intelligent Systems