Graduate Computational Urban Designer; G2

Graduate Computational Urban Designer (G2) - Bristol

Graduate Computational Urban Designer (G2) - Bristol

See it differently - Early Careers at Arup

See it differently

You see the world through a unique lens and that’s exactly what we need. We embrace how you see things differently – it’s essential for creating a sustainable future.

Arup is a global consultancy with advisory and technical expertise across more than 150 disciplines. We guide, plan and design the future of the built environment. Globally, each year we recruit hundreds of graduates and students who help us see things differently and solve the most complex challenges facing our clients, climate and communities.

The Graduate Computational Urban Designer would contribute across two connected work streams in our team.

• Strategic Master planning & Advisory:
• Master planning and urban design studies
• Research, analysis and visualisation
• Development frameworks and strategic plans
• Community and stakeholder engagement support
• Bid and proposal support
• Project deployment and set-up
• Testing and quality assurance with Arup domain experts
• Development of re-usable digital workflows and libraries
• User support, onboarding and training materials
• Production of client demonstrations and project value stories
• You will be aligned but not limited to the following duties -
• Master planning and urban design studies
• Computational modelling support- specific to Arup's Urban Inform
• Development of re-usable digital workflows and libraries
• Production of client demonstrations and project value stories

For this opportunity, we are seeking the following qualifications, skills and attributes:

A Master's-level degree (or equivalent) in a relevant discipline, such as Computer Science (including Cybersecurity), Architecture, Urban Design or Urban Planning.

• Parametric and computational design:
  Rhino and Grasshopper
  Ability to build, test and maintain reusable scripts, definitions and workflows
  Understanding of spatial parameters, design rules, optimisation and scenario testing.
• GIS, spatial data and mapping:
  ArcGIS, QGIS and/or FME
  Spatial data preparation, cleaning, geoprocessing and analysis
  Ability to work with site, land use, movement, environmental and socio-economic datasets.
• Data analytics and visualisation:
  Excel, Power BI and/or similar dashboarding tools
  Ability to interpret datasets and translate outputs into clear project insights
  Basic understanding of data structures, KPIs and performance metrics
  Urban modelling and scenario testing:
  Experience supporting masterplan option testing, density studies, accessibility analysis, land-use mix, capacity studies and climate/sustainability metrics

Ability to connect design inputs with evidence-based outputs for client decision-making

• Coding and scripting:
  Python would be particularly useful, especially for automation, data processing and linking design tools with external datasets
  Familiarity with APIs, notebooks or low-code/no-code workflows would be beneficial
• CAD and design production:
  AutoCAD, Rhino and potentially Revit awareness
  Ability to translate between technical outputs and spatial/design drawings
• Graphic communication and client-facing outputs:
  Adobe Creative Suite, especially Illustrator, InDesign and Photoshop
  Clear visual storytelling for reports, bids, client demonstrations and training materials
• AI-supported workflows:
  Interest in AI-assisted design, research, coding, data interpretation and visualisation
  Ability to test AI-enabled workflows responsibly and document their value, risks and limitations

To be considered for a graduate opportunity, your application must include a copy of your academic transcript and meet the following criteria:

• Full working rights in the country of application
• No more than 12 months of full-time…