Postdoctoral Researcher

Project Overview

We are seeking a highly motivated PhD-level researcher to join our environmental biosensor projects focusing on the development of next-generation microbial electrochemical sensors (MES) for real-time wastewater and environmental monitoring.

These projects integrate IoT, electronic design, cloud connectivity, and AI-based data analysis to enhance sensor automation, field deployment, and industrial service readiness.

Key Responsibilities

• Design, assemble, and optimize electronic and IoT subsystems for microbial and electrochemical sensor platforms.
• Program and integrate data acquisition systems (e.g., ADC, microcontrollers, PLC/SCADA, and wireless modules).
• Develop algorithms for signal conditioning, data analytics, and cloud upload for real-time environmental monitoring dashboards.
• Collaborate on AI-driven predictive monitoring and anomaly detection modules.
• Contribute to mechanical design of sensor housings and fixtures using CAD tools (SolidWorks 2018, ICAD, AutoCAD).
• Participate in field installation, calibration, and maintenance of biosensors in collaboration with industrial partners.
• Provide technical documentation, reports, and publication support.

Required Qualifications

• PhD in Electrical/Electronic Engineering, Mechatronics, Control Systems, Mechanical Engineering, or a closely related field.
• Strong experience in:
• Electronic circuit design (analog/digital, PCB prototyping)
• IoT system integration (sensors, data loggers, cloud APIs)
• Programming in C/C++, Python, and CX-Programmer (PLC/SCADA)
• Mechanical CAD design (SolidWorks, ICAD, AutoCAD)
• Data analytics and visualization for cloud or AI applications
• Good understanding of environmental sensors or electrochemical systems is a plus.

Preferred Skills

• Familiarity with wireless communication protocols (LoRa, Wi-Fi, MQTT, etc.)
• Experience with AWS/Azure/Google Cloud IoT platforms
• Hands-on ability to interface sensors with microcontrollers (Arduino, ESP32, Raspberry Pi)
• Knowledge of machine learning or signal processing for environmental data interpretation
• Strong teamwork, technical documentation, and problem-solving skills.

Project Environment

You will work within a multidisciplinary team under UKM's environmental sensor research cluster, collaborating with engineers, chemists, and data scientists. The position involves both laboratory prototyping and field deployment in collaboration with industry partners.

Employment Type

• Full-time, contract basis (12–18 months, renewable based on performance and funding)
• Location: Titiwangsa, Kuala Lumpur or Universiti Kebangsaan Malaysia (UKM), Bangi
• Start date: Immediate / Q4 2025

Job Types: Full-time, Contract

Contract length: 12 months

Pay: Up to RM5,000.00 per month

Benefits:

• Opportunities for promotion
• Professional development

Work Location: In person