School of Engineering - Lecturer (Electrical & Semiconductor Engineering)

Government of Singapore · Republic Polytechnic

[What the role is]

School of Engineering - Lecturer (Electrical Engineering, Semiconductor Technology & Manufacturing)

[What you will be working on]

Deliver and develop lessons in electrical engineering, electronics, microelectronics and semiconductor technology.
Teach topics such as circuit analysis, analogue and digital electronics, semiconductor devices, IC fundamentals, instrumentation and engineering applications.
Deliver semiconductor modules covering wafer fabrication, process integration, semiconductor manufacturing, testing, packaging, reliability and yield engineering.
Develop curriculum, laboratories and projects involving AI-enabled semiconductor manufacturing, smart factories, semiconductor data analytics, intelligent process control, computer vision and Industry 4.0 technologies.
Develop and conduct CET programmes, including Specialist Diploma and Part-time Diploma courses.
Supervise student projects, internships and applied learning activities.
Collaborate with industry and university partners on curriculum development, applied projects and industry engagement.
Support outreach activities, student development and administrative duties.

[What we are looking for]

Strong fundamentals in electronics, electrical engineering, semiconductor devices and microelectronics.
Knowledge or exposure in one or more areas:
Semiconductor manufacturing and wafer fabrication
Equipment, process or product engineering
Testing, reliability or yield engineering
Advanced packaging or semiconductor automation
Interest or experience in AI for semiconductor applications, including:
Yield prediction
Defect detection and classification
Computer vision for wafer inspection
Predictive maintenance
Manufacturing analytics
Digital twins
Smart manufacturing and Industry 4.0
AI-enabled process optimisation
Exposure to emerging technologies such as advanced packaging, chiplets, silicon photonics, AI accelerators, high-bandwidth memory (HBM) or SiC/GaN devices will be advantageous.
Ability to utilise AI tools for engineering, teaching and applied projects.
Passion for teaching, mentoring and engaging youths.
Strong communication and interpersonal skills.