Postdoc: Data-Driven Urban Morphology for Resilience

TU Delft; Delft; On-site; EUR 41,000 - 64,000; Full time

Benefits offered by this job

ABP pension

Relocation assistance

232 annual leave hours

Career development & training

Job summary

TU Delft's CROSS-PED team seeks a postdoctoral researcher to develop quantitative methods that identify cross-scale urban archetypes and advance scalable passive cooling for climate-resilient cities.

You will lead data-driven framework development, apply GIS and clustering across building façades to neighbourhood scales, and test transferable methods across European case-study cities, contributing to university and municipal collaborations.

Qualifications

• PhD in Urbanism, Urban Geography, Geoinformatics, Environmental Engineering, Urban Climate or related field.
• Advanced skills in GIS, spatial data processing and quantitative urban morphological analysis.
• Experience with statistical analysis, unsupervised classification techniques and programming in Python and/or R.
• Practical experience in urban microclimatic modelling and understanding relationships between urban form, climate and energy performance.
• Effective written and spoken English; ability to collaborate in international, interdisciplinary teams.
• Ability to independently develop research methods, manage complex datasets and contribute to publications.
• Desirable: experience with passive cooling, building energy assessment, participatory research or Urban Living Labs.
• Willing to travel internationally; Dutch knowledge is a plus but not required.

Responsibilities

• Develop and apply a data-driven framework to identify cross-scale urban archetypes.
• Carry out quantitative morphological analyses and clustering to identify representative urban types.
• Test transferable unsupervised classification methods across multiple scales.
• Model microclimate factors and integrate findings into energy assessments at building and district scales.
• Collaborate with municipalities, professionals and citizens via Urban Living Labs.
• Publish scientific findings and contribute to transferable datasets and guidelines.

Skills

GIS

Quantitative morph analysis

Python

R

Unsupervised classification

Academic writing

International collaboration

Education

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

Tools

GIS software

Python

R

Job description

TU Delft's CROSS-PED team seeks a postdoctoral researcher to develop quantitative methods that identify cross-scale urban archetypes and advance scalable passive cooling for climate-resilient cities.

You will lead data-driven framework development, apply GIS and clustering across building façades to neighbourhood scales, and test transferable methods across European case-study cities, contributing to university and municipal collaborations.