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Computational Urban Designer

2 months ago

Toronto, Ontario, Canada Arcadis Full time

About the Role

Arcadis is seeking a talented Computational Urban Designer to join our data-driven design team, focusing on urban scale projects. This role offers an exciting opportunity to work on diverse projects including neighbourhood master plans, TOD, transit planning, streetscape design, residential development, and transit technology for both public and private sector clients.

Key Responsibilities

  • Develop and implement computational design strategies for urban planning projects, including modeling, documentation, visualization, and data analytics.
  • Research and provide context for planning projects, including zoning, relevant local laws, housing policies, and local initiatives.
  • Gather, clean, and organize data for project use.
  • Engage directly with clients to understand their goals and outline project requirements.
  • Lead portions of projects under the supervision of computational design leadership.
  • Incorporate planning fundamentals and principles into computational models.
  • Advance parametric and GIS capabilities within the computational design practice.
  • Contribute to growing the Computational Design team's presence within the company's broader planning division.

Requirements

  • Bachelor's degree in Urban Planning/Design, Civil Engineering, Geography, Architecture, Landscape Architecture, Urban Design, or a related field.
  • Experience with master planning, affordable housing, urban design, or transit planning.
  • Strong skills in Rhino, Grasshopper, and GIS, with the ability to quickly learn new tools and processes.
  • Inquisitive and self-motivated individual with excellent organizational skills.
  • Ability to multi-task and maintain precision and attention to detail.
  • Ability to deliver high-quality work within challenging project timeframes and deadlines.
  • Excellent verbal and written communication skills.
  • Proficiency in programming languages, particularly Python and C# would be a plus.
  • Familiarity with machine learning applications in urban planning and design would be a plus.
  • Understanding of current planning and design issues across multiple disciplines would be a plus.