Location
In office (Singapore)
Employment
Full-Time
Overview
Company
Impact
Profile match
Careers@Gov is the official centralized recruitment platform for the Singapore Public Service, serving as a single gateway for job opportunities across government ministries and statutory boards. The portal enables job seekers to explore public sector roles, track applications, and access career development resources powered by digital tools. Headquartered in Singapore, it is managed by the Public Service Division and the Government Technology Agency to streamline public sector talent acquisition.
[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.
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