School of Engineering - Lecturer (Electrical & Semiconductor Engineering)

[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.