Postdoc: Data-Driven Urban Climate Morphology & Cooling

Delft; Delft; Remote; EUR 41,000 - 64,000; Full time

Benefits offered by this job

ABP pension

Annual leave with buy/sell

Education and training programs

Relocation support

Holiday allowance 8%

End-of-year bonus 8.3%

Job summary

TU Delft invites applications for a postdoctoral researcher role focused on developing data-driven methods to identify cross-scale urban archetypes. You will analyze urban form, microclimate and energy performance, employing clustering to derive transferable cooling strategies for climate-resilient cities.

Your work will integrate GIS-based data from The Hague, Bari and Bucharest, contribute to scalable passive cooling, and involve collaboration with municipalities and a European consortium.

Qualifications

• PhD completed before starting employment.
• Advanced GIS and spatial data processing skills.
• Experience with statistical analysis and unsupervised classification.
• Experience in urban microclimate modelling and energy relations.
• Excellent written and spoken English; able to collaborate internationally.
• Ability to develop research methods and manage datasets.
• Preferably experience with passive cooling and Urban Living Labs.
• Willingness to travel internationally; Dutch language not required.

Responsibilities

• Develop data-driven framework to identify cross-scale urban archetypes.
• Carry out quantitative morphological analyses and clustering.
• Collect and harmonise GIS datasets from multiple European cities.
• Connect urban morphology with climate and energy assessments.
• Collaborate with municipalities, professionals and citizens via Urban Living Labs.
• Publish findings and contribute to project meetings.

Skills

GIS

Spatial analysis

Python

R

Education

PhD in Urbanism

Tools

Python

R

GIS

Job description

TU Delft invites applications for a postdoctoral researcher role focused on developing data-driven methods to identify cross-scale urban archetypes. You will analyze urban form, microclimate and energy performance, employing clustering to derive transferable cooling strategies for climate-resilient cities.

Your work will integrate GIS-based data from The Hague, Bari and Bucharest, contribute to scalable passive cooling, and involve collaboration with municipalities and a European consortium.