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.