Research Assistant - AIoT for Crane Safety & Digital Twins

Saint Francis University; Hong Kong; On-site; HKD 180,000 - 260,000; Full time

Job summary

Saint Francis University invites applications for a Research Assistant in the Yam Pak Charitable Foundation School of Computing and Information Sciences on an RGC-funded project. The role focuses on an AIoT structural health monitoring and EARLY-warning system for construction tower cranes in Hong Kong.

The appointee will join engineers and data scientists, deploy sensor networks, develop embedded firmware and data pipelines, and contribute to publishable research outputs related to construction

Qualifications

• Honours degree in Electronic Engineering or related discipline (Master's/MPhil advantageous).
• Experience with embedded systems, microcontrollers and sensors (Arduino, ESP32, Raspberry Pi, STM32).
• Signal processing and data analysis using Python and/or MATLAB.

Responsibilities

• Design, assemble and calibrate IoT sensor nodes and wireless data-acquisition hardware.
• Deploy and maintain monitoring instrumentation on laboratory cranes and on-site towers.
• Develop firmware and data pipelines for real-time data acquisition, transmission and visualization.
• Perform other project-related duties as assigned.

Skills

Embedded systems

Sensor interfacing

Python

MATLAB

English & Cantonese

Education

Honours degree in Electronic Engineering or related field

Tools

Arduino

ESP32

Raspberry Pi

STM32

Job description

Saint Francis University invites applications for a Research Assistant in the Yam Pak Charitable Foundation School of Computing and Information Sciences on an RGC-funded project. The role focuses on an AIoT structural health monitoring and EARLY-warning system for construction tower cranes in Hong Kong.

The appointee will join engineers and data scientists, deploy sensor networks, develop embedded firmware and data pipelines, and contribute to publishable research outputs related to construction