Postdoc in Data-Driven Urban Climate & Passive Cooling

Delft University of Technology via AcademicTransfer

Nederland

On-site

EUR 41,000 - 64,000

Full time

4 days ago
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Job summary

Delft University of Technology (TU Delft) is seeking a postdoctoral researcher to develop data-driven methods identifying cross-scale urban archetypes and advancing passive cooling strategies for climate-resilient cities. You will apply clustering and quantitative morphology to urban form, climate, and energy data across multiple European cities from 1980 to 2000 building stock.

Your work will connect urban morphology with microclimate modelling, supporting scalable cooling solutions and

Qualifications

  • PhD in Urbanism, Urban Geography, Geoinformatics, Environmental Engineering or related field.
  • Advanced GIS skills and spatial data processing abilities.
  • Experience with Python or R for data analysis.
  • Knowledge of urban morphology, microclimate and energy relationships.
  • Excellent written and spoken English; ability to publish in scientific outlets.
  • Willingness to travel internationally and collaborate in interdisciplinary teams.

Responsibilities

  • Develop and apply a data-driven framework to identify cross-scale urban archetypes.
  • Perform quantitative morphological analyses and clustering for transferable urban typologies.
  • Collect and harmonise GIS datasets for multiple European cities and scales.
  • Contribute to microclimate modelling and energy assessments in a cross-disciplinary team.
  • Publish results and participate in international project meetings and Living Lab activities.

Skills

GIS
Spatial data processing
Python
R
Urban morphology
English writing

Education

PhD required

Tools

GIS software
Python
R

Job description

Delft University of Technology (TU Delft) is seeking a postdoctoral researcher to develop data-driven methods identifying cross-scale urban archetypes and advancing passive cooling strategies for climate-resilient cities. You will apply clustering and quantitative morphology to urban form, climate, and energy data across multiple European cities from 1980 to 2000 building stock.

Your work will connect urban morphology with microclimate modelling, supporting scalable cooling solutions and

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