New opportunity

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

NYP Nanyang Polytechnic · Singapore

About this role

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, innovation methodologies, product development, prototyping, and technology-driven solutioning. Responsibilities include developing and delivering learning units, creating industry-relevant curriculum and assessments, supervising student projects, and building industry partnerships. Candidates are expected to stay current with emerging trends and integrate them into teaching. Required Qualifications: Relevant degree 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, and project-based learning. Familiarity with cloud platforms, digital technologies, or smart systems. Preferred Qualifications: Experience in AI, IoT, automation, digital twins, or data analytics. Experience in industry projects and innovation initiatives. Relevant professional certifications in engineering, innovation, design, cloud technologies, or project management.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Human-Centred DesignDesign ThinkingProduct DevelopmentPrototypingInnovation MethodologiesCloud PlatformsArtificial IntelligenceIoTAutomationDigital TwinsData AnalyticsSystems ThinkingEntrepreneurshipProject-based Learning

Your skill match

Checking your profile…

YOUR NEXT STEP

Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Curriculum Development and Delivery

    The core responsibility is to design and teach learning units that bridge human-centred design with advanced technologies like AI, IoT, and cloud platforms. You must translate complex technical concepts into accessible, industry-relevant curriculum that emphasizes iterative prototyping and user-centric problem-solving.

  • Mentorship and Project Supervision

    You are expected to guide students through experiential learning, specifically supervising innovation challenges and industry-based projects. This requires balancing academic rigor with practical mentorship to help students navigate the complexities of product development and entrepreneurship.

  • Industry Partnership Building

    A key priority is to actively build and maintain relationships with industry partners. This is essential for ensuring that the curriculum remains current and that students have access to real-world innovation initiatives and applied learning opportunities.

Likely challenges to think through

  • Bridging Theory and Rapidly Evolving Tech

    The challenge lies in keeping academic content current with the fast-paced nature of AI and cloud innovation. Prepare by demonstrating how you stay updated on emerging trends and how you have successfully integrated new digital tools into previous teaching or professional projects.

  • Balancing Technical Depth with Design Thinking

    You must effectively teach students to apply design thinking to highly technical systems like digital twins or automation. Prepare by highlighting examples where you have successfully facilitated the intersection of engineering problem-solving and user-centric design methodologies.

03

Practice your answers

Technical practice

Integrating Human-Centred Design with AI

What to coverExplain how you would teach students to apply design thinking principles specifically to AI-driven products. Focus on balancing user needs with the technical constraints and ethical considerations inherent in AI and machine learning systems.

Prototyping for Cloud-Enabled Solutions

What to coverDescribe your approach to teaching iterative prototyping for cloud-based engineering projects. Discuss how you guide students through testing and validation cycles while incorporating cloud infrastructure and digital tools.

Systems Thinking in Engineering Innovation

What to coverHow do you incorporate systems thinking into the product development curriculum? Provide examples of how you help students view technology-driven solutions as part of a larger, interconnected ecosystem rather than isolated components.

Applying IoT and Digital Twins in Education

What to coverDiscuss how you would integrate emerging technologies like IoT or digital twins into a classroom setting. Suggest ways to make these complex concepts accessible and relevant for students working on industry-based projects.

Curriculum Development for Industry Relevance

What to coverDescribe your process for creating learning units that align with current industry trends. Explain how you ensure assessments remain rigorous while reflecting the practical, fast-paced nature of innovation and technobusiness.

Mentoring Student Innovation Projects

What to coverWhat strategies do you use to supervise student-led innovation challenges? Focus on how you balance providing technical guidance with fostering student autonomy and entrepreneurial thinking.

Bridging Theory and Applied Learning

What to coverHow do you ensure that theoretical concepts in engineering design are effectively translated into applied learning outcomes? Suggest methods for integrating real-world industry problems into the academic curriculum.

Managing Sustainable Design Practices

What to coverHow do you teach students to incorporate sustainability into user-centric design? Discuss the trade-offs between rapid product development and the long-term environmental or social impact of technology-driven solutions.

Behavioural practice

Building Industry Partnerships

What to coverDescribe a situation where you successfully initiated or managed a partnership with an external organization. Explain how you identified the mutual benefits and how the collaboration enhanced the learning experience for your students.

Handling Diverse Learning Needs

What to coverShare an example of how you adapted your teaching style to support a student or group struggling with complex technical concepts. Detail the actions you took and the impact this had on their engagement and project outcomes.

Navigating Conflicting Project Requirements

What to coverDescribe a time when you had to guide a team through a project where user requirements conflicted with technical or budget constraints. How did you facilitate the decision-making process to reach a viable solution?

Staying Current with Rapid Technological Change

What to coverProvide an example of how you have proactively updated your own knowledge in response to a major shift in technology or industry standards. Explain how you integrated this new information into your professional practice or teaching.

02

Sharpen your knowledge

Topics to prepare

  • Human-Centred Design (HCD) Principles

    Review the core tenets of HCD, specifically how to apply user-centric methodologies to AI and cloud-based engineering solutions. Exercise: Draft a lesson plan that demonstrates how to map user pain points to specific AI-driven features in a hypothetical smart system.

  • Innovation Management and Technobusiness

    Understand the intersection of entrepreneurship, product development, and innovation management. Exercise: Create a framework for evaluating the commercial viability and technical feasibility of a student-led innovation project.

  • Project-Based Learning (PBL) Pedagogy

    Focus on strategies for supervising student projects and industry-based challenges. Exercise: Design a rubric for assessing student performance in an iterative prototyping project that balances technical accuracy with user-centric design.

Skills to revise

  • Prototyping and Iterative Development

    Practice rapid prototyping techniques for digital and smart systems. Exercise: Develop a low-fidelity prototype for an IoT-enabled device and outline a plan for user testing and iterative refinement based on feedback.

  • Cloud and AI Integration

    Familiarize yourself with applying cloud platforms and AI technologies to engineering design. Exercise: Research a current industry use case involving digital twins or automation and prepare a brief technical summary explaining how cloud infrastructure supports the solution.

  • Systems Thinking

    Apply systems thinking to complex engineering problems. Exercise: Map out the ecosystem of a smart system, identifying the relationships between hardware, cloud services, and user interaction points.

04

Your preparation checklist

  • Prepare a teaching philosophy statement

    Draft a brief statement focusing on your approach to project-based learning and mentoring students in design thinking. Highlight how you bridge the gap between complex technical concepts like AI/Cloud and human-centric design principles.

  • Curate a portfolio of industry-relevant projects

    Assemble 2-3 examples of your past work in product development or innovation. For each, clearly document the problem-solving process, the use of prototyping, and how you integrated emerging technologies like IoT or data analytics.

  • Develop a sample lesson plan

    Create a 30-minute lesson outline for a hypothetical unit on applying AI to a real-world engineering problem. Include learning objectives, an interactive activity involving design thinking, and a method for assessing student understanding.

  • Map your technical expertise to curriculum needs

    Create a matrix aligning your specific experience in cloud platforms, digital twins, or automation with the core teaching areas listed in the job description. This helps demonstrate your readiness to deliver the required learning units.

  • Formulate questions for the interview panel

    Prepare thoughtful questions regarding the current student project landscape, existing industry partnerships, and how the department stays updated on rapid advancements in AI and cloud technologies.

AI-generated from the job information · Prepared Oct 16, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in Singapore. Matched to this role, not your profile.

Explore more jobs
Finding similar opportunities…