[What the role is]
Republic Polytechnic's School of Engineering is seeking One Research Staff for a duration of 12 months to work on a project for Development of an IIoT Energy Monitoring Solution with AI-Driven Analytics for Industrial Applications with the following. We are looking for a driven and detail-oriented Engineer to develop IoT Solutions that include data dashboards and automated reports for various purposes. You will work closely with engineers and domain specialists to develop IoT solutions with sensors, communications to build intuitive web-based platforms that process, tag, and visualize visual datasets from microprocessors with IIoT capabilities. Your work will contribute to a smarter equipment monitoring system and AI-driven analysis for reports.
[What you will be working on]
- Design and implement intuitive (not limited to) web-based dashboards for real-time energy data visualisation.
- Develop automated reporting systems for performance tracking and analytics.
- Collaborate with engineers and domain specialists to understand data structures and system requirements.
- Integrate AI-driven tagging and analytics into the dashboard for smarter equipment monitoring.
- Process and manage visual datasets from IIoT-enabled microprocessors.
- Conduct testing, debugging, and optimisation of software modules.
- Document development processes and provide technical support during deployment.
[What we are looking for]
- Qualification in Information Technology, Computer Engineering, Electronics and Communication or related fields.
- Candidates without experience are welcomed to apply.
- Proficiency in web development technologies (e.g., HTML, CSS, JavaScript, React, or Vue.js).
- Experience with backend frameworks (e.g., Node.js, Python Flask/Django) and database systems (e.g., MySQL, MongoDB).
- Familiarity with data visualisation libraries (e.g., Chart.js, D3.js) and report generation tools.
- Familiarity with ThingSpeak, AWS IoT Core, or Azure IoT Hub for dashboard development.
- Basic understanding of AI/ML concepts and data tagging techniques is a plus.
- Strong analytical skills and attention to detail.
- Ability to work independently and collaboratively in a multidisciplinary team.
- Good communication and documentation skills.
