ABOUT VINUNIVERSITY

VinUniversity is the first private, not-for-profit Vietnamese university established based on international standards. The university integrates the models of excellent international universities with the unique cultural and economic characteristics of Vietnam, to make a breakthrough in Vietnamese higher education and to become a world-class university.

VinUniversity has strategic collaborations with the world’s leading universities, including Cornell University and the University of Pennsylvania. These universities have become close advisors and crucial enablers in establishing the four colleges at VinUniversity: College of Arts and Sciences, College of Business and Management, College of Engineering and Computer Science, and College of Health Sciences. Every aspect of the University: its curricula, research, faculty, student body, facilities, and campus life, is being developed to meet the highest standards set by the world’s leading accrediting and ranking organizations, such as ABET, AACSB, Quacquarelli Symonds (QS) and Times Higher Education (THE).VinUniversity’s founding benefactor, Vingroup, is one of the biggest private conglomerates in Asia with the largest market capitalization value in Vietnam. As a multisector corporation, Vingroup focuses on three main areas: Technology; Industry; and Property Services. VinUniversity is proud to be a part of the Vingroup ecosystem, giving its students opportunities to connect with several high-quality research institutes (such as VinAI, and VinBigData), pioneering industrial enterprises (such as VinFast), and leading Vietnamese companies (such as Vinpearl, Vincom Retail, Vinmec, and Vinhomes).

ROLE DESCRIPTION

We are seeking a skilled Research Assistant with expertise in AI and IoT systems to lead the development of a smart aquaculture platform. The role involves designing, implementing, and testing a functional prototype that integrates AI and IoT technology for monitoring water quality in aquaculture systems. The project aims to enhance environmental sustainability by reducing marine pollution and contributing to the green transformation of Nha Trang City.

POSITION RESPONSIBILITIES

• IoT Sensor Network Design: Develop and implement an IoT sensor network to monitor key water quality parameters (temperature, pH, dissolved oxygen) in aquaculture. Integrate sensors into a cloud platform for real-time data collection and analysis.
• AI-Enabled Platform Development: Design a digital platform that uses AI to analyze sensor data, trigger alerts, and enable automated responses based on water quality thresholds.
• Prototype Testing: Test and optimize the prototype in Nha Trang aquaculture environments, focusing on sensor calibration, data accuracy, and environmental resilience.
• System Validation in Field: Conduct field visits to aquaculture sites in Nha Trang to validate system performance in different environmental conditions, including temperature and salinity variations.
• Pollution Analysis: Use collected data to identify potential pollution sources affecting aquaculture.

SKILLS & EXPERIENCE

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related fields.
• Experience in designing and developing IoT systems, especially for environmental monitoring applications.
• Experience with AI/ML frameworks for data analytics and predictive modeling. Proficiency in cloud platforms for data integration and storage (e.g., AWS, Azure).
• Familiarity with sensor technologies and environmental data processing.
• Experience in publishing academic papers in recognized conferences or journals.
• Excellent problem-solving skills and the ability to work in multidisciplinary research teams.
• Willingness to conduct fieldwork and frequent travel to Nha Trang for system validation.

HOW TO APPLY

Please submit your CV and portfolio of relevant work. Applications will be reviewed on a rolling basis until the position is filled.

We thank all applicants for their interest. Please note that only those candidates selected for interviews will be contacted.