BIODENCITY: Assessing biodiversity and urban density - 2026_CDR_DASTU_1

Position: Post-doctoral research contract Institute: Polytechnic of Milano
Posted on: 20/02/2026 Deadline: 23/03/2026

Scientific-Disciplinary Group

08/CEAR-12 - Urban And Landscape Planning And Design

Description

The research aims to develop an advanced typology of dense urban forms and green infrastructure through geospatial analysis and statistical clustering techniques. The goal is to understand how different configurations of built density and urban green spaces influence biodiversity, adopting a systemic and multi-scale approach. To this end, high-resolution geospatial datasets from global and European sources will be used to construct neighborhood-scale indicators, defined within a 500-meter walking radius, which ensures comparability between cities. The indicators will be organized into three key dimensions for urban biodiversity: ecological context, anthropogenic elements, and natural components. On this basis, unsupervised learning methods will be applied to classify neighborhoods into urban types that describe the interactions between density, greenery, and habitat quality.

Job posting website

https://www.polimi.it/en/bandi-per-contratti-di-ricerca

Number of positions

1

Funding body

Politecnico di Milano

How to apply

https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079

Selection process

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In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-per-contratti-di-ricerca quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 30 points) relevance and significance of previous research activities and professional experience in relation to the research program (up to 15 points) relevance of submitted publications with respect to the research program (up to 15 points) interview, aimed at assessing the candidate’s research aptitude, their ability to implement the proposed project, and their knowledge of English and/or other relevant languages for the research (up to 40 points)

View the original posting on the MUR website: Go to MUR website

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