School of Engineering - Lecturer (Electrical & Semiconductor Engineering)

sggovterp; Singapore; On-site; SGD 72,000 - 110,000; Full time

Job summary

sggovterp in Singapore is seeking a Lecturer in Electrical Engineering, Semiconductor Technology and Manufacturing to deliver and develop comprehensive courses across electronics, microelectronics and wafer fabrication. The role requires strong fundamentals and the ability to design labs, projects and CET programmes, while mentoring students and coordinating with industry partners.

The successful candidate will lead curriculum development, supervise projects, and contribute to outreach

Qualifications

• Strong fundamentals in electronics, electrical engineering, semiconductor devices and microelectronics.
• Exposure to semiconductor manufacturing and wafer fabrication is a plus.
• Interest or experience in AI for semiconductor applications, including predictive maintenance and computer vision.

Responsibilities

• 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.

Skills

Electronics fundamentals

Semiconductor devices

Microelectronics

Industry 4.0

Job description

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.