Lecturer (Human-Centred Design for AI & Cloud Innovation) – School of Engineering

[What the role is]

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

[What you will be working on]

The successful candidate will develop and deliver learning units in:

Design thinking, human-centred design and innovation

Product design, prototyping, testing, validation and iterative development

Engineering problem-solving, systems thinking and solution development

Innovation management, entrepreneurship, and technobusiness

Sustainable, user-centric and impactful design practices

Apply cloud, AI, IoT and emerging technologies to engineering design and innovation

Integrate relevant digital tools/technologies and expose learners to smart, connected and technology-enabled solutions

Develop industry-relevant curriculum, assessments and experiential learning activities

Supervise student projects, innovation challenges and industry-based projects

Mentor learners in design thinking, innovation, entrepreneurship & product development

Build industry partnerships to support applied learning, innovation and capability development

Stay current with emerging trends/developments and integrate them into teaching

[What we are looking for]

We are seeking a candidate with:

Relevant qualifications in Engineering, Design Engineering, Product Design, Innovation, Computer Engineering, Information Systems or related fields.

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.

Familiarity with cloud platforms, digital technologies or smart systems; experience in AI, IoT, automation, digital twins or data analytics is preferred.

Strong communication and interpersonal skills, with a passion for teaching and mentoring.

Experience in industry projects, innovation initiatives and product development will be an advantage.

Relevant professional certifications in engineering, innovation, design, cloud technologies or project management will be beneficial.

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