Job Description

The successful candidate will work with Professor Sam Li on  development of sensors for measurement of controlled substances.

The main responsibilities of the position include:

•    Development of molecular imprinting techniques for QCM sensors
•    Evaluation of multi-channel sensor for testing analytes in simulated and real samples (standards, simulated samples, real samples)
•    Preparation of QCM sensor chips.
•    Development of AI and IoT software for online sensors compatible with multi-channel online sensors with smart features, including data collection, storage, analysis, reporting and error correction, etc. 
•    Development of sensor software: programming, revision, debugging. 
•    Interfacing and integration of sensor software and AI software. 
•    Sensor performance testing. 
•    Sensor verification and certification according to specifications.

Qualifications / Discipline:
- PhD degree holder, preferrable from smart chemical sensors and equivalent. 

Skills:
- Expertise in polymer imprinting, machine learning, AI model development and deployment
- Proficient in programming languages, including Python, Java,  C, etc. 
- Chemical sensor and molecular imprinting

Experience:  
- Experience in hardware control, acquisition and signal processing
- Experience in IoT development.
- Experience in design and development of sensors based on Quartz Crystal Microbalance. 
- Experience in chemical analysis instrumentation development and troubleshooting.

More Information

Location: Kent Ridge Campus

Organization: Science

Department : Chemistry

Job requisition ID : 29314