Internship Opportunity At Most Research Unit: Urban Mobility Modeling And Analysis
Pubblicato il 20-08-2026 - Fondazione Bruno Kessler - Fbk in Trento
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 urban mobility analysis through the application of data-driven methods and statistical modeling. The project aims to leverage traffic data, sensor observations, and network information to understand and estimate mobility patterns in urban contexts. 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 mobility, aiming to evaluate both the direct impacts (on traffic, public transport usage, etc.) and indirect impacts (on emissions, socio-economic aspects, etc.) of different potential policies designed to reduce private vehicle use in Bologna. In this context,
the intern will contribute to:* Managing data collection and integration* Develop and apply analytical methods (e.g., time series analysis, network-based estimation techniques, assignment models) to characterize traffic patterns, estimate mobility flows, and assess the impact of policy interventionsThis 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 knowledge of or interest in statistical modeling and network 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: ****** . For any further information, please contact the Human Resources Department at: ****** .
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