Research Engineer at National University of Singapore

Q: What qualifications are required for the Research Engineer position at NUS iHealthtech?

You need a Bachelor’s or Master’s degree in Electrical Engineering, Embedded Systems, or a related field . The role also requires 2+ years of experience in wearable sensor development, embedded systems, or IoT hardware design . Hands-on expertise with PCB design , Bluetooth Low Energy (BLE) , and firmware development in C, C++, or Python is essential. See how to write a winning academic CV to present your qualifications effectively.

Q: What are the main responsibilities of this wearable sensor research role?

You will contribute to a Wearable Sensor Network by designing miniaturized wireless sensors , developing embedded firmware , optimizing Bluetooth Low Energy (BLE) communication, creating custom PCBs with Altium, KiCad, or Eagle , performing signal processing , and managing low-power operation . You will also conduct laboratory and field testing and collaborate with software engineers and data scientists. Browse similar research jobs for comparison.

Q: How do I apply for the Research Engineer job at NUS?

Submit your cover letter , CV , and names of 3 references (with name, institution, and email) to Assistant Professor Wu Changsheng (cwu@nus.edu.sg) and Associate Professor Ali Asgar S. Bhagat (ali@nus.edu.sg) . Only shortlisted candidates will be contacted. Use the free cover letter template to get started.

Q: What is the application deadline for this Research Engineer role?

The application deadline is October 25, 2026 . Because no later review date is listed, it is best to submit all materials well before the deadline. For more academic opportunities at NUS and beyond, visit university jobs .

Q: Which technical skills are most important for the wearable sensor role?

Key skills include Bluetooth Low Energy (BLE) , embedded firmware development in C, C++, or Python , PCB design with Altium, KiCad, or Eagle , and experience with microcontrollers such as STM32, nRF52, and ESP32 . Knowledge of signal processing for physiological data and low-power power management is also highly valued. Explore research job opportunities that use similar skills.

Q: Is visa sponsorship available for international applicants?

The job posting does not specify whether visa sponsorship is available. International candidates are advised to ask about work authorization when contacting Assistant Professor Wu Changsheng or Associate Professor Ali Asgar S. Bhagat directly with their cover letter and CV . For more international academic roles, browse university jobs .

About iHealthTech

The Institute for Health Innovation & Technology (iHealthtech) at the National University of Singapore (NUS) was founded in 2017 to advance health through technological innovation. Focused on tackling clinical challenges, iHealthtech develops innovative health technologies, bridging the gap from the laboratory to the clinic and market. This process aims to ultimately benefit patients and society. To realise this mission, iHealthtech emphasises close interdisciplinary collaboration among its Principal Investigators, collaborators from engineering, medicine, and science, as well as industrial partners and entrepreneurs.

Job Description

The Institute for Health Innovation & Technology (iHealthtech) at the National University of Singapore (NUS) is seeking a Research Engineer to join a multidisciplinary research and development project focused on wearable sensor technology.

This project aims to develop a Wearable Sensor Network that integrates wireless, miniaturized sensors to measure physiological parameters across multiple body regions. This position also provides an exciting opportunity to work on a highly multidisciplinary translational research and development project.

Key Responsibilities

We are looking for a passionate and self-motivated research engineer to join our team for the following key tasks:

Sensor Hardware Development: Design, prototype, and validate miniaturized, wireless sensors for physiological and biomechanical data collection.
Embedded Systems: Develop firmware and optimize low-power microcontroller-based sensor platforms.
Wireless Communication: Implement and optimize Bluetooth Low Energy (BLE) and other wireless protocols for real-time multi-sensor data transmission.
PCB Design & Prototyping: Develop custom PCBs using tools like Altium, KiCad, or Eagle, ensuring compact, power-efficient designs.
Signal Processing & Data Acquisition: Work on analog front-end (AFE) design for accurate signal acquisition and conditioning.
Power Management: Develop low-power solutions for continuous, long-term wearable sensor operation.
Testing & Validation: Conduct laboratory and field testing to assess sensor accuracy, reliability, and robustness in real-world conditions.
Collaboration: Work closely with software engineers, data scientists, and domain experts to integrate sensor data into the real-time monitoring system.

Requirements

Bachelor’s or Master’s degree in Electrical Engineering, Embedded Systems, or a related field.
2+ years of experience in wearable sensor development, embedded systems, or IoT hardware design.
Hands-on experience with sensor integration, PCB design, and low-power embedded systems.
Proficiency in Bluetooth Low Energy (BLE) communication and embedded firmware development (e.g., C, C++, Python).
Experience with microcontrollers (STM32, nRF52, ESP32, etc.) and real-time data acquisition.
Knowledge of signal processing techniques for physiological data interpretation.
Familiarity with power management strategies for wearable devices.Excellent writing and verbal communication skills

To apply, please send your cover letter, CV and names of 3 references (name, institution, email) to Assistant Professor Wu Changsheng (cwu@nus.edu.sg) and Associate Professor Ali Asgar S. Bhagat (ali@nus.edu.sg). Only shortlisted candidates will be contacted.

We regret to inform you that only shortlisted candidates will be notified.

Job details

Title: Research Engineer
Employer: National University of Singapore
Location: Kent Ridge Campus
Published: Aug 26, 2026
Closes:: Oct 25, 2026
Job type: Full time, Staff / Administration
Field: Laboratory and Research

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Frequently Asked Questions

🎓What qualifications are required for the Research Engineer position at NUS iHealthtech?

You need a Bachelor’s or Master’s degree in Electrical Engineering, Embedded Systems, or a related field. The role also requires 2+ years of experience in wearable sensor development, embedded systems, or IoT hardware design. Hands-on expertise with PCB design, Bluetooth Low Energy (BLE), and firmware development in C, C++, or Python is essential. See how to write a winning academic CV to present your qualifications effectively.

🛠️What are the main responsibilities of this wearable sensor research role?

You will contribute to a Wearable Sensor Network by designing miniaturized wireless sensors, developing embedded firmware, optimizing Bluetooth Low Energy (BLE) communication, creating custom PCBs with Altium, KiCad, or Eagle, performing signal processing, and managing low-power operation. You will also conduct laboratory and field testing and collaborate with software engineers and data scientists. Browse similar research jobs for comparison.

📝How do I apply for the Research Engineer job at NUS?

Submit your cover letter, CV, and names of 3 references (with name, institution, and email) to Assistant Professor Wu Changsheng (cwu@nus.edu.sg) and Associate Professor Ali Asgar S. Bhagat (ali@nus.edu.sg). Only shortlisted candidates will be contacted. Use the free cover letter template to get started.

⏰What is the application deadline for this Research Engineer role?

The application deadline is October 25, 2026. Because no later review date is listed, it is best to submit all materials well before the deadline. For more academic opportunities at NUS and beyond, visit university jobs.

💻Which technical skills are most important for the wearable sensor role?

Key skills include Bluetooth Low Energy (BLE), embedded firmware development in C, C++, or Python, PCB design with Altium, KiCad, or Eagle, and experience with microcontrollers such as STM32, nRF52, and ESP32. Knowledge of signal processing for physiological data and low-power power management is also highly valued. Explore research job opportunities that use similar skills.

🌏Is visa sponsorship available for international applicants?

The job posting does not specify whether visa sponsorship is available. International candidates are advised to ask about work authorization when contacting Assistant Professor Wu Changsheng or Associate Professor Ali Asgar S. Bhagat directly with their cover letter and CV. For more international academic roles, browse university jobs.