The University of Doha for Science and Technology (UDST) in Qatar is seeking a dedicated Research Assistant Job in Qatar – IoT and AI to contribute to an innovative project focused on sustainable livestock management. This role offers a unique opportunity to work on cutting-edge research that integrates artificial intelligence (AI) and Internet of Things (IoT) technologies to enhance livestock productivity and sustainability in the Qatari market. The position is ideal for individuals passionate about technology, research, and real-world applications that advance the goals of Qatar’s National Vision 2030.
About the Company For Qatar
The University of Doha for Science and Technology (UDST) is Qatar’s first national applied university, established under Emiri Decision No. 13 of 2022. It specializes in technical, applied, and professional education, offering over 70 programs across five major colleges — Business, Computing and Information Technology, Engineering and Technology, Health Sciences, and General Education.
UDST has built a strong reputation for student-centered learning, state-of-the-art facilities, and a world-class faculty dedicated to applied research and innovation. With more than 700 staff members and 8,000 students, UDST continues to shape the future of higher education in Qatar by aligning its academic and research initiatives with national economic and human development goals.
The university’s Applied Research, Innovation and Economic Development Directorate focuses on developing advanced research projects that address real-world challenges, promoting collaboration between academia, industry, and government.
Key Responsibilities
- Develop, test, and integrate IoT sensor systems for monitoring livestock health, behavior, and environmental data.
- Support the development and deployment of AI-driven predictive models using embedded systems such as ESP32 and Raspberry Pi.
- Manage real-time data acquisition to ensure high data quality and synchronization with cloud systems.
- Design and maintain interactive dashboards for data visualization, alerts, and livestock management insights.
- Analyze historical and live datasets to derive meaningful insights for decision-making and operational improvements.
- Draft and publish research papers, white papers, and technical documentation highlighting project outcomes and innovations.
- Develop software and algorithms eligible for copyright and patent filing related to AI and data analysis tools.
- Collaborate with industry partners and agricultural stakeholders to implement IoT-AI solutions and evaluate their real-world performance.
- Participate in farm-based testing and contribute to project Q-Cattle’s technical progress and objectives.
Requirements
- Bachelor’s, Master’s, or PhD degree in Electrical Engineering, Computer Science, Data Science, or a related discipline.
- Strong understanding of IoT architecture, sensor integration, and data pipelines.
- Proficiency in machine learning and AI tools, including predictive modeling.
- Experience with data visualization platforms such as Power BI, Tableau, or custom dashboard tools.
- Familiarity with agricultural technology or livestock management systems.
- Strong analytical, problem-solving, and programming skills.
Skills
- Excellent communication and technical writing abilities.
- Competence in AI model design and cloud-based data management.
- Proficiency with embedded systems such as ESP32, Arduino, or Raspberry Pi.
- Ability to manage multiple tasks and research priorities independently.
- Collaborative mindset for working with multidisciplinary and industry teams.
- Keen attention to detail with a commitment to research integrity and innovation.
Benefits
- Opportunity to contribute to a nationally significant research project (Q-Cattle) enhancing Qatar’s sustainable food systems.
- Work with leading researchers and international experts in AI and IoT.
- Access to advanced laboratories, research facilities, and technical resources.
- Competitive salary and benefits aligned with Qatar’s academic employment standards.
- Professional growth through conferences, publications, and collaborative research opportunities.
- Supportive and diverse academic environment promoting innovation and applied learning.
