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Research Opportunities

Robotics for Agriculture and Forestry

[Open soon]

Work description

The work plan includes an analysis of the state of the art in RADAR and EMI technologies applied to the perception of plants, fruits, and hidden structures in an agricultural context. The study, improvement, and validation of RADAR modules for selective weeding, pruning, and selective harvesting applications will be carried out, considering different sensor configurations and data acquisition strategies. The work will also include the evaluation of multi-RADAR solutions, with a view to their integration into robotic manipulators and mobile agricultural platforms, namely the Modular-E/X. Acquisition, processing, and signal analysis methods will be developed and tested, aiming to improve the detection of partially or totally hidden fruits and plant structures. Whenever applicable, laboratory tests and trials in a real operating environment will be conducted, allowing for the evaluation of the performance, robustness, and applicability of the developed solutions in real agricultural conditions.

Academic Qualifications

Master's degree in Electrical and Computer Engineering, currently enrolled in a doctoral program.

Minimum profile required

Master's degree in Electrical and Computer Engineering;Active enrollment in a doctoral program;Experience using RADAR and/or EMI sensors;Knowledge of microcontroller programming;Knowledge of signal acquisition, processing, and analysis.

Preference factors

Experience in PCB design and development; Experience with signal conditioning systems; Experience with RADAR, EMI sensors, or other advanced perception systems; Experience in IoT systems for agriculture or environmental monitoring; Experience in integrating sensors into robotic platforms; Experience in validating systems in a real operating environment; Knowledge of mobile robotics, manipulators, or precision agriculture.

Application Period

Since 16 Jul 2026 to 29 Jul 2026

[Open soon]

Centre

Robotics in Industry and Intelligent Systems

Scientific Advisor

Filipe Neves Santos