Qualifications Completed undergraduate degree in Computer Engineering, Computer Science, Control and Automation Engineering, or related fields. Currently enrolled in or holding a master’s degree in Engineering, Computing, or related disciplines, with a focus on artificial intelligence, data science, or embedded systems. Experience Experience in projects involving data collection from physical sensors, wearable devices, or agricultural systems. Participation in projects related to ergonomics, digital health, or human simulations. Applied knowledge in industrial or agricultural environments is an advantage. Familiarity with communication protocols and hardware integration. Experience with operational data and working in multidisciplinary teams focused on technological innovation is desirable. Knowledge Concepts of Human Digital Twins applied to agriculture, ontologies and semantic representation of human factors. Supervised and unsupervised algorithms, neural networks and generative models (Generative AI). Tools: Python, Scikit-learn, TensorFlow or PyTorch. Familiarity with IoT communication protocols and integration of physical sensors. Requirements / Competencies Logical reasoning, organization, critical analytical ability, strong communication skills, and teamwork capability. Proactivity in seeking solutions, autonomy in task execution, and proficiency in technical English. Commitment to scientific output and practical application of results. Activities to be performed **Human Digital Modeling:** develop components of the HDT model incorporating behavioral, cognitive, and physiological aspects. **Multisensory Data Integration:** collect and pre-process data from IoT sensors, wearable devices, and agricultural systems. **Ontology and Semantic Structure:** support the development of a specialized ontology for human factors in agriculture. **Intelligent Algorithm Development:** implement generative AI and machine learning models for context prediction and recommendations. **Analytical Pipelines and Automation:** create scripts for task automation and data integration. **Experimental Validation:** participate in the proof-of-concept of the Agro HumanDT model. **Interface and Visualization:** contribute to dashboards presenting HDT data. **Documentation and Dissemination:** prepare technical reports and scientific articles. Work Location São Leopoldo