Research Assistant (AI-Enhanced Media Art (EQUA Project))

The School of Art, Design and Media (ADM) at NTU invites applications for a Part-Time Research Assistant to support the MOE Tier 1 research project EQUA: Emergent Quantum Aesthetics through AI-Enhanced Media. Led by A/P Ina Conradi Chavez, EQUA develops AI-powered immersive artworks that transform how audiences engage with complex scientific ideas — translating quantum theory into large-scale aesthetic experiences presented at major international venues including Ars Electronica, MEET Milan, and urban media screens across Asia and Europe. This is a hands-on creative-technical role for a self-driven individual who is passionate about generative AI, real-time media, and the intersection of art and science.

Key Responsibilities:

• Design and build scalable generative AI pipelines using ComfyUI, RunwayML, Midjourney, Stable Diffusion, and multi-modal AI ecosystems for immersive art production

• Build and operate real-time generative media environments in TouchDesigner for large-scale immersive installations and public screen deployments

• Own end-to-end studio production sessions from prototyping through exhibition-ready output; assist with grant documentation and milestone reporting

• Create and edit digital content for the project's online presence and exhibition submissions

• Support studio production sessions, audience data collection, and curatorial documentation

Job Requirements:

• Bachelor's degree in Media Art, Digital Arts, Interactive Media, or equivalent

• Proficiency in ComfyUI (essential) and TouchDesigner (essential); hands-on experience with real-time and generative media systems

• Demonstrated experience with multi-modal generative AI tools (Stable Diffusion, RunwayML, Midjourney, Luma AI, or similar) applied in production workflows

• Ability to work independently as a hands-on builder; strong interest in AI, immersive media art, and science communication

• Portfolio of generative or AI-driven creative works required

We regret to inform that only shortlisted candidates will be notified.