Research Assistant in IoT and AI for Livestock Monitoring and Management
4 days ago
University of Doha
Qatar
ID 2024-3874
Category: Academic
Position Type: Temporary
Expected Start Date: 1/1/2025
The Applied Research, Innovation and Economic Development Directorate of UDST invites applications for the position of Research Assistant- IoT and AI to work on project Q-Cattle, an integrated AI and IoT framework for sustainable livestock management to increase the efficiency of milk and meat production in the Qatari Market.
Responsibilities:- Develop, test, and integrate IoT-based sensor systems for monitoring livestock health, behavior, and environmental impact into a unified platform.
- Support the creation, refinement, and deployment of AI-driven predictive models on embedded systems such as ESP32 and Raspberry Pi to collect, process, and send data to the cloud.
- Monitor real-time data acquisition processes, ensuring data quality, integrity, and seamless synchronization with cloud storage.
- Design, implement, and test a comprehensive dashboard for intuitive data visualization, real-time notifications, and actionable insights for livestock management.
- Analyze historical and real-time data using advanced processing techniques to extract meaningful insights and enable proactive decision-making.
- Draft high-quality research outputs, including Q1 and Q2 journal papers, white papers, book chapters, and technical documentation, showcasing methodologies, findings, and innovations.
- Develop and optimize software and algorithms eligible for copyright and patent protection, focusing on AI models, data analysis tools, and system integration.
- Collaborate with industry partners and stakeholders to implement IoT and AI-driven solutions, conduct farm-based assessments, and evaluate real-world applications of the system.
- Bachelor, Master or PhD degree in Electrical Engineering, Computer Science, Data Science, or a related field.
- Knowledge of IoT systems, sensor integration, and data processing pipelines.
- Proficiency in AI/ML tools and techniques, especially in predictive modeling.
- Familiarity with livestock farming or agricultural technologies.
- Experience in data visualization and dashboard development (e.g., Power BI, Tableau, or custom platforms).
- Strong analytical and problem-solving skills.
- Experience in collaborating with multidisciplinary teams and industry partners.
- Knowledge of environmental metrics and greenhouse gas monitoring.
- Excellent communication and organizational skills.
- Ability to work independently and as part of a team.
- Strong commitment to research ethics and quality.
- Attention to detail and a proactive approach to problem-solving.
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