Urban Analytics Intern: Geospatial Data for Smart Cities

Fondazione Bruno Kessler - FBK

Trento

In loco

EUR 8124 - 9731

Part-time

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Opportunity to work on co-authored scientific publications
Collaboration with interdisciplinary teams
Access to internal canteen service
Support for accommodation search

Descrizione del lavoro

A research foundation in technology and innovation is offering an internship in Modeling and Simulation of Techno-Social Systems. Interns will engage in urban environment analysis using geospatial data and contribute to a project aimed at improving urban planning in Bologna. Key requirements include an academic background in relevant fields, data analysis skills, and proficiency in Python. The internship lasts 3 to 6 months without financial allowance, providing experience in a multidisciplinary team and opportunities for publication co-authorship.

Competenze

  • Fluency in written and spoken English (minimum B2 level).
  • Ability to work collaboratively in a research setting.

Mansioni

  • Data collection and integration from OpenStreetMap and other sources.
  • Construct and analyze key indicators for modeling the urban environment.
  • Visualizations and tests to assess the effectiveness of proposed characterizations.

Conoscenze

Data analysis skills
Experience with Python
Interest in geospatial tools and analysis

Formazione

Academic background in Computer Science, Engineering, or related field

Descrizione del lavoro

A research foundation in technology and innovation is offering an internship in Modeling and Simulation of Techno-Social Systems. Interns will engage in urban environment analysis using geospatial data and contribute to a project aimed at improving urban planning in Bologna. Key requirements include an academic background in relevant fields, data analysis skills, and proficiency in Python. The internship lasts 3 to 6 months without financial allowance, providing experience in a multidisciplinary team and opportunities for publication co-authorship.
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