Postdoc: Data-Driven Urban Morphology for Cooling

Delft University of Technology (TU Delft); Delft; On-site; EUR 44,000 - 69,000; Full time

Job summary

TU Delft's CROSS-PED team seeks a postdoctoral researcher to develop data-driven methods for identifying cross-scale urban archetypes and to advance scalable passive cooling strategies for climate-resilient cities. You will apply quantitative morphological analysis and clustering to represent building stock and neighbourhood configurations.

You will collaborate across European partners, harmonise GIS datasets for The Hague, Bari and Bucharest, and connect urban morphology with microclimatic

Qualifications

• PhD in Urbanism, Urban Geography, Geoinformatics, Environmental Engineering, Urban Climate or related field.
• Advanced GIS, spatial data processing and quantitative urban morphological analysis.
• Experience with statistical analysis, unsupervised classification techniques and programming in Python and/or R.
• Knowledge of urban microclimatic modelling and relationship between urban form, climate and energy performance.
• Excellent written and spoken English; ability to collaborate in international teams.
• Willingness to travel internationally; Dutch knowledge is an advantage but not required.

Responsibilities

• Develop and apply a data-driven framework to identify cross-scale urban archetypes from buildings to neighbourhoods.
• Carry out quantitative morphological analyses and use clustering to identify representative urban types.
• Collect and harmonise GIS datasets for European case-study cities (The Hague, Bari, Bucharest).
• Contribute to microclimatic modelling and energy assessments for district-scale cooling strategies.
• Collaborate with municipalities, researchers and international partners within the CROSS-PED project.

Skills

GIS

Spatial data processing

Quantitative urban morphology

Python

R

Unsupervised classification

Urban microclimatic modelling

English scientific writing

Independent research

International travel

Education

PhD in Urbanism / Urban Geography / Geoinformatics / Environmental Engineering / Urban Climate

Tools

Python

R

GIS

Job description

TU Delft's CROSS-PED team seeks a postdoctoral researcher to develop data-driven methods for identifying cross-scale urban archetypes and to advance scalable passive cooling strategies for climate-resilient cities. You will apply quantitative morphological analysis and clustering to represent building stock and neighbourhood configurations.

You will collaborate across European partners, harmonise GIS datasets for The Hague, Bari and Bucharest, and connect urban morphology with microclimatic