Lecturer - Human-Centred Design for AI & Cloud Innovation

About the role

A School of Engineering position for a full-time Lecturer focused on delivering high-quality education in Human-Centred Design for AI and Cloud Innovation. The role covers teaching and mentoring learners in design thinking, human-centred design, innovation methodologies, product development, prototyping and technology-driven solutioning.

Key responsibilities

• Develop and deliver learning units in design thinking, human-centred design and innovation, and in product design, prototyping, testing, validation and iterative development.
• Cover engineering problem-solving, systems thinking, innovation management, entrepreneurship and sustainable, user-centric design practices.
• Teach how to apply cloud, AI, IoT and emerging technologies to engineering design, and integrate digital tools so learners can explore smart, connected solutions.
• Develop industry-relevant curriculum, assessments and experiential learning activities.
• Supervise student projects, innovation challenges and industry-based projects, and mentor learners in design thinking, innovation and entrepreneurship.
• Build industry partnerships to support applied learning and capability development, and stay current with emerging trends.

Required profile

• Qualifications in Engineering, Design Engineering, Product Design, Innovation, Computer Engineering, Information Systems or a related field.
• 3-5 years of relevant industry or practical experience in engineering design, product development, innovation or technology-enabled solutions.
• Experience in design thinking, prototyping, user-centred design, innovation and project-based learning.
• Strong communication and interpersonal skills, with a passion for teaching and mentoring.
• Experience in industry projects, innovation initiatives and product development is an advantage; professional certifications in engineering, innovation, design, cloud technologies or project management are beneficial.

Required skills

• Familiarity with cloud platforms, digital technologies or smart systems.
• Experience with AI, IoT, automation, digital twins or data analytics is preferred.