Postdoc: Data-Driven Urban Climate Morphology

Delft University of Technology; Delft; On-site; EUR 41,000 - 64,000; Full time

Benefits offered by this job

ABP pension scheme

Flexible working week

Education and training opportunities

Relocation assistance

Job summary

Join the CROSS-PED team at Delft University of Technology to develop data-driven methods for identifying cross-scale urban archetypes and advancing scalable passive cooling strategies for climate-resilient cities.

As a Postdoctoral Researcher at TU Delft, you will design and apply a data-driven framework, perform quantitative morphological analyses, and collaborate with international partners to test transferable zoning and cooling solutions.

Qualifications

• You hold a PhD in Urbanism, Urban Geography, Geoinformatics, Environmental Engineering, Urban Climate or a related field before starting employment.
• You have advanced skills in GIS, spatial data processing and quantitative urban morphological analysis.
• You have experience with statistical analysis, unsupervised classification techniques and programming in Python and/or R.
• You have practical experience in urban microclimatic modelling and understand relationships between urban form, climate and energy performance.
• You communicate effectively in written and spoken English, including scientific writing, and enjoy collaborating in international, interdisciplinary research teams.
• You can independently develop research methods, manage complex datasets and contribute to scientific publications and collaborative research projects.
• You are ideally experienced with passive cooling, building energy assessment, participatory research or Urban Living Labs.

Responsibilities

• Develop and apply a data-driven methodological framework to identify cross-scale urban archetypes.
• Carry out quantitative morphological analyses and clustering to identify representative urban types.
• Collaborate within CROSS-PED and with municipalities to test transferable methods.
• Collect and harmonise GIS datasets for case-study cities (The Hague, Bari, Bucharest).

Skills

GIS & spatial data processing

Python or R programming

Quantitative urban morphology analysis

Unsupervised classification techniques

Urban microclimate modelling

Scientific writing in English

Independent research methodology

Passive cooling / energy assessment (o

Education

PhD in Urbanism/Urban Geography/Geoinformatics/Environmental Engineering/Urban Climate or related field

Tools

Python

R

GIS software (QGIS/ArcGIS)

Job description

Join the CROSS-PED team at Delft University of Technology to develop data-driven methods for identifying cross-scale urban archetypes and advancing scalable passive cooling strategies for climate-resilient cities.

As a Postdoctoral Researcher at TU Delft, you will design and apply a data-driven framework, perform quantitative morphological analyses, and collaborate with international partners to test transferable zoning and cooling solutions.