Study, design and development of IoT solutions for agriculture

Work description

Analyze CropSign, Photonsense and TribeGreenhouse solutions and study advanced sensor calibration and adjustment procedures.

Academic Qualifications

Frequency of a Master's Degree in Electrical and Computer Engineering

Minimum profile required

Frequency of a Master's Degree in Electrical and Computer Engineering

Preference factors

• Knowledge of programming in C/C++;
• Experience working with multi-spectral sensors.

Application Period

Since 01 Feb 2024 to 14 Feb 2024

Cluster / Centre

Industrial and Systems Engineering / Robotics in Industry and Intelligent Systems

Scientific Advisor

Filipe Neves Santos