Computational Urban Designer

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IBI Group

πŸ“Remote - United States

Job highlights

Summary

Join Arcadis, the world's leading company delivering sustainable design, engineering, and consultancy solutions, as a talented Computational Designer in their data-driven design team. This role offers an exciting opportunity to work on diverse urban scale projects, focusing on human-centric design, sustainability, and technology.

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 proceeses
  • 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

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

Benefits

Flexibility regarding the candidate's location, with the option to work from any of our offices throughout the United States or remotely

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