Visual Computational Storytelling Intern - Buildings; Summer

Stantec’s Buildings team is on a mission to become the world’s leading integrated design practice. Our architects, engineers, interior designers, consultants, sustainability specialists, and technologists are passionate about the power of design. Our collaborative culture and our innovative, sustainable approach to projects help us create buildings that matter to our world.

Together, we are enhancing the quality of life globally through design.

Join us and design your place with Stantec.

We are seeking a research and design intern with sharp computational skills and a strong interest in cultural storytelling, computational design, and architectural materiality—someone who can help uncover patterns and characteristics embedded in Indigenous knowledge systems, cultural practices, and material traditions across different regions.

The ideal candidate will work with the data amassed by the PILAT team, identifying meaningful ways to translate site‑specific insights into spatial expressions. These expressions should evoke the presence and history of Indigenous communities in thoughtful, non‑appropriative ways—offering design cues that are culturally respectful, contextually grounded, and educationally impactful.

• Analyzing Indigenous data for recurring themes, symbols, material systems, and ecological knowledge;
• Exploring strategies for representing these insights through form, texture, or spatial organization;
• Defining design rules or logics that can be translated into parametric scripts (e.g., using Grasshopper or similar);
• Prototyping the storytelling parametric design tool;
• Investigating the use of AI‑driven tools that, when combined with these rule sets, could automatically generate context‑sensitive material or formal responses based on the cultural history of a site.

Ultimately, this internship aims to advance a methodology for culturally attuned, data‑informed design—one that contributes meaningfully to both the architecture profession and broader educational conversations about place, identity, and memory.

• Analyze and interpret Indigenous knowledge and site‑specific cultural data gathered via PILAT.
• Identify symbolic, material, ecological, or spatial patterns across different Indigenous contexts.
• Explore ways to translate these patterns into architectural form, texture, or material language.
• Support the development of rule sets that can be translated in scripts and parametric modeling, generative design, and simulation workflows for storytelling purposes.
• Investigate the use of AI or machine learning tools to support culturally‑driven design automation.
• Document findings and present them in visually compelling, critically aware formats.
• Collaborate with designers, researchers, and Indigenous consultants in an iterative process.

• Rule Definition & Parametric Design:
  Proven ability to translate raw data into explicit design rules—mapping patterns to forms, materials, textures, and spatial logics—and implement those rules in Grasshopper (or equivalent) and scripting (Python, C#, etc.).
• Visual & Textual Research:
  Strong research and analytical skills for uncovering themes, symbols, and ecological insights within Indigenous knowledge systems.
• Cultural Sensitivity & Ethics:
  Deep respect for Indigenous perspectives; skill in crafting non‑appropriative, site‑responsive narratives that honor cultural contexts.
• Communication & Storytelling:
  Excellent written, verbal, and visual storytelling—able to document methodologies, present findings, and articulate design narratives with clarity and nuance.

• Background in bioregional materials or sustainable design principles.
• Prior community engagement or cultural storytelling projects.

Applicants should be enrolled or having recently completed a graduate program (master or doctorate) in one of the following (or a related) fields:
Computer Science;
Design & Applied Arts;
Sociology;
Architecture;
Art History;
Graphic Design;
Industrial Design;
Museum Studies;
Product Design/Packaging;
Digital Communication;
Computer Engineering;
Anthropology;
Mathematics;
Physics;
Ci…