Part-Time Lecturer, AI-Driven Computer Graphics and Visualisation

About the role

The School of Art, Design and Media (ADM) at Nanyang Technological University, Singapore, is looking for a Part-Time Lecturer for the postgraduate course AP6421 AI Driven Computer Graphics and Visualisation. The course is one of the elective offerings of the new MSc in Game Design, Art and Technology, and begins in January 2027.

Key responsibilities

• Teach the postgraduate course, which focuses on the role of automation and artificial intelligence in contemporary digital game development.
• Guide students through procedural generation techniques for creating environments, terrains, game assets and behaviours from algorithms and datasets.
• Explore AI-driven approaches to gameplay and content generation, including adaptive systems, intelligent NPCs and dynamic level designs.
• Support students in integrating and visualising live data in real time with a contemporary game engine, and in automating content creation and generating synthetic renderings.
• Help students turn conceptual, technical and creative ideas into functional game demos, and show how these techniques extend to urban planning, scientific simulation, interactive storytelling and data-informed digital art.

Required profile

• A relevant Master's and/or PhD in Game Design, Interactive Media or a related field, with a track record of creative practice in the gaming industry.
• Past undergraduate-level teaching experience is preferred; candidates with a Bachelor's degree and sufficient relevant industry experience (e.g. lead design/animation or indie development) may be considered in exceptional cases.

Required skills

• Expertise in contemporary game design and development workflows, especially automation, procedural generation, artificial intelligence and real-time game-engine technologies.
• Ability to teach core game-design concepts such as rules, systems and interactive frameworks.

Applications are submitted through the university's careers portal; the closing date is 12 November 2026 and the successful candidate is expected to start in January 2027. Only shortlisted candidates will be notified.