Internship opportunity at MoST research unit: Urban environment characterization and analysis

Fondazione Bruno Kessler - FBK

Trento

In loco

EUR 8124 - 9731

Part-time

14 giorni+
Generatore di candidature

Distinguiti per questo ruolo — genera un curriculum personalizzato e una lettera di presentazione in circa un minuto.

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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

FBK is opening a new internship opportunity in the Modeling and Simulation of Techno-Social Systems (MoST) research unit of Digital Society (DigiS) research center. The DigiS center conducts interdisciplinary research and develops digital technologies to address challenges in areas such as integrative AI, intelligence at the edge, and socio-technical systems. The center fosters collaborations with public administrations, industry partners, and academic institutions to support the digital and green transition and to build a more sustainable society. More information: . The MoST unit researches models and simulations of complex socio-technical systems to support public data-informed decision-making and civic participation. Combining AI and data-based methods, the MoST unit faces major societal challenges in key areas like urban planning, socio-economic inequality, climate neutrality, and public administration. More information: . **Planned activities** MoST is offering an internship opportunity focused on the characterization and analysis of urban environments through the integration of geospatial data, combining objective physical characteristics of urban infrastructure with subjective factors that influence citizens' perception and use of urban spaces. The internship is framed within the wider Bologna Digital Twin project, which FBK is carrying out in collaboration with the Municipality of Bologna. Specifically, the use case concerns urban planning in the historical city center, aiming to evaluate and suggest improvements to the characterization of the urban structure in terms of accessibility and equity. In this context, the intern will contribute to:* Data collection and integration: extract and process urban infrastructure and service data from OpenStreetMap and other relevant sources* Urban network characterization and analysis: construct and analyze key indicators for modeling the urban environment* Validation: visualizations and tests to assess the effectiveness of the proposed characterization for specific case studies (e.g., specific fragility groups)This internship provides the chance to work in a multidisciplinary team and to actively participate in applied research that combines behavioral analytics with user-centered approaches. **Requirements*** Academic background in Computer Science, Computer Engineering, Data Science, Engineering, Physics, Mathematics, or related technical field* Good data analysis skills and interest in geospatial tools and analysis* Experience with Python* Fluency in written and spoken English (minimum B2 level)* Ability to work collaboratively in a research setting**Internship Information*** Type: Curricular internship (no allowance)* Duration: 3 to 6 months, depending on the candidate’s needs and experience* Location: In-person at the Science and Technology Cluster of FBK in Povo (Trento, Italy)* Other benefits: + Opportunity to work on co-authored scientific publications + Collaboration with interdisciplinary teams and other FBK research units + Possibility to use the internal canteen service + Support for the search for accommodation at the affiliated structures (no allowance)**Additional Opportunities** This internship may be extended into a full research thesis for interested candidates. **How to Apply** Interested candidates should fill out the online form in the “Internship Opportunities” section at , attaching the following documents in PDF format:* Curriculum vitae* Motivation letterFor any information about the internship activity, contact Marco Pistore at: pistore@fbk.eu . For any further information, please contact the Human Resources Department at: jobs@fbk.eu .
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