Technical practice
How would you design an interface for curators to control gallery layouts and narrative flow?
What to coverThe role calls for user-centered controls for spatial layouts, narrative flow and iterative design. Suggested preparation: explain how you would discover users’ needs, make generated changes inspectable, and let users revise them.
How would you evaluate whether an AI-assisted exhibition prototype is usable?
What to coverThe posting calls for prototyping, user studies and usability evaluation. Suggested preparation: describe suitable study tasks, what you would observe or measure, and how findings would guide the next iteration.
How would you support both voice-to-scene and text-to-scene interaction?
What to coverThe role includes voice and text prompting for scene creation. Suggested preparation: discuss how users would review or correct an interpreted request, and the trade-offs between spoken and typed input.
How would you structure a prompt-driven 3D gallery-generation pipeline?
What to coverThe posting calls for prompt-driven scene and gallery generation. Suggested preparation: trace a request from prompt interpretation through spatial generation to a reviewable scene, identifying where constraints and human edits belong.
Where would diffusion models fit in an exhibition-visualisation workflow?
What to coverThe role includes diffusion models for visualisation and content generation. Suggested preparation: distinguish generating visual content from arranging a coherent 3D space, and explain how you would assess whether outputs suit the exhibition brief.
When might Gaussian Splatting or NeRF be useful for an immersive heritage application?
What to coverThe qualifications name these as examples of 3D reconstruction and rendering techniques, rather than requiring both. Suggested preparation: compare their potential uses and practical trade-offs for representing a heritage scene, including rendering and editability considerations.
How would you bring a generated gallery into a real-time engine?
What to coverThe posting names Unity and Unreal as examples for implementation. Suggested preparation: explain how you would handle scene assets, interaction and performance while preserving the ability to revise a gallery design.
How would you decide between prompt iteration and model fine-tuning?
What to coverThe documented workflow includes prompt engineering, model fine-tuning and iteration. Suggested preparation: compare the effort and expected benefits of each approach, and describe how you would evaluate changes against the intended visual or spatial result.
How would you manage assets and versions across exhibition prototypes?
What to coverAsset management and versioning are explicit parts of the end-to-end workflow. Suggested preparation: explain how prompts, generated assets, scene changes and annotations could remain traceable so collaborators can review or revisit a design.
How would you design an AI-assisted exhibition prototyping platform around spatial annotation?
What to coverThe role calls for a prototyping and visualisation platform with spatial generation and annotation. Suggested preparation: describe how collaborators could inspect, annotate and revise generated spaces, and what a prototype would need to demonstrate before a user study.
Behavioural practice
Tell me about collaborating with specialists outside your discipline.
What to coverThe role involves working with curators, designers and heritage professionals. Suggested preparation: use a real situation/action/result example showing how you understood another specialist’s goal and translated it into a design or research decision.
Describe a time user feedback changed your prototype.
What to coverPrototyping, user studies and iterative design are stated responsibilities. Suggested preparation: give a real situation/action/result example that separates what participants did or said from the changes you made and the outcome you observed.
Tell me about resolving competing priorities in an interactive system.
What to coverThe role combines usable interactions, AI generation and immersive implementation. Suggested preparation: use a real situation/action/result example to explain the trade-off, whose input you sought, and how you assessed the decision.
Describe a time you made an experimental workflow understandable to collaborators.
What to coverThe posting calls for documenting end-to-end workflows and collaborating across disciplines. Suggested preparation: give a real situation/action/result example of what you documented, how others used it, and what you improved.
Tell me about communicating the contribution of a research project.
What to coverThe posting seeks demonstrated research capability through publications or substantial project or portfolio experience. Suggested preparation: use a real situation/action/result example to explain the research question, your contribution, the evidence gathered and the limits of the findings.