Lecturer in Electronic Engineers for Wearable PPG Device Design

We are looking for highly skilled and motivated individuals to join our team as Lecturers in Electronics. Successful candidates will have a strong academic background and expertise in the fields of electronics, biomedical engineering, or related disciplines. 

The role includes teaching undergraduate courses, engaging in research activities, and contributing to departmental growth.

-          Deliver high-quality lectures and tutorials on topics related to wearable electronics, signal processing, and device integration.

-          Develop and update course materials to reflect current advancements in the field.

-          Supervise and mentor undergraduate students in their academic and research projects.

-          Contribute to the development of interdisciplinary research programs within the department.

-          Participate in departmental and university service activities.

·       Microcontroller Programming: Proficient in Arduino and Raspberry Pi programming, with a solid grasp of C/C++ and Python. Capable of setting up and integrating PPG sensors with these platforms and managing data acquisition. 

·       Signal Processing: Skilled in implementing signal processing algorithms for PPG data using MATLAB, with experience in filtering, noise reduction, and feature extraction to ensure accurate physiological measurements. 

·       Circuit Design & Prototyping: Knowledgeable in electronic circuit design and simulation (e.g., Multisim). Capable of designing and troubleshooting analog front-end circuits that interface with PPG sensors and microcontrollers.

·       Wearable Device Integration: Familiarity with wearable device constraints, such as power efficiency, miniaturization, and user comfort, ensuring the design is compact and energy-efficient. 

·       Communication & Documentation: Excellent teamwork and communication skills, capable of producing clear documentation for collaborative design efforts.

·       Electronic Circuit Design: Advanced knowledge of analog and digital circuit design using Multisim or similar tools. Expertise in designing circuits for data acquisition, signal conditioning, and power management in wearable devices.

·       Sensor Integration & Calibration: Proficient in integrating optical PPG sensors and calibrating them to ensure accuracy in heart rate and oxygen saturation measurements.

·       Data Processing & Analysis: Experienced in MATLAB for data analysis and modeling, with the ability to simulate and validate signal processing algorithms in real-time.

·       Prototyping & Testing: Skilled in PCB design and prototyping, experienced with iterative testing of circuit functionality, sensor accuracy, and battery life to ensure a robust, field-ready product.

·       Problem-Solving & Innovation: Strong analytical skills with a creative approach to solving design challenges, ensuring reliable performance under wearable constraints.