Job Summary: We are seeking a technology master for research and development, with a focus on digitalization, AI, and IoT, to participate in the design and validation of systems. Key Highlights: 1. Opportunity for masters in technological fields with a focus on R&D. 2. Experience in scientific research and technical documentation. 3. Knowledge of C++, Python, and IoT communication protocols. Qualifications Applicants must hold a master's degree in technological fields or related disciplines, preferably in Electrical Engineering, Control and Automation Engineering, Computer Science, Computer Engineering, or related areas. It is desirable that their academic background and experience relate to topics such as asset digitalization, system modeling, data interoperability, communication protocols, semantic technologies, artificial intelligence, cyber-physical systems, or digital agriculture. Experience Applicants should ideally have prior experience in scientific research activities, whether through undergraduate research initiation, participation in R&D&I projects, or work at science and technology institutes. They must possess experience in technical and scientific documentation, including report, article, and manual writing, as well as hands-on experience conducting laboratory experiments involving embedded systems, sensors, and protocol integration. Experience with simulation tools such as ROS or MATLAB/Simulink will be considered an advantage. Required Knowledge The fellow must possess programming knowledge in C\+\+ and Python, as well as familiarity with communication protocols used in embedded systems and IoT, such as MQTT, Modbus, OPC UA, DDS, LoRa, Wi\-Fi, and Bluetooth. Proficiency in fundamentals of data interoperability and standardization in digital applications is expected, along with knowledge of artificial intelligence and machine learning applied to agricultural data. They must also be capable of conducting literature reviews and critically reading scientific articles. Responsibilities * Definition of system architecture * Design of the semantic model for the defined use case * Design of the security subsystem * Integration of subsystems * Laboratory environment validation Work Location ISI SENSING SYSTEMS
João Silva
Indeed · HR
João Silva
Indeed · HR
