An Urban Digital Twin is a dynamic digital model of a city, fed by data collected from the city itself, and capable of faithfully reproducing the city behaviour through the use of advanced modelling, data science, and AI techniques. One of the key foreseen applications of Urban Digital Twins is to predict the evolution of the city, including the effects and impacts of external changes (eg, climate change) and internal processes (eg, urban transition policities and incentives). A challenge for the development of Urban Digital Twins is that cities are systems-of-systems, with complex interactions between physical, organisational, and social dimensions, as well as between the physical world and the digital world. Novel modeling and simulation techniques are necessary to develop Urban Digital Twins able to manage this complexity and produce reliable predictions.

The candidate will be requested to work in this research area, and in particular to work on advanced agent-based modeling and simulation frameworks for Urban Digital Twins and to their validation on real scenarios concerning the adoption of Digital Twin by Italian cities. Besides the requirements established by the rules of the ICT school, preferential characteristics for candidates for this scholarship are:

• master degree in Computer/Data Science, Mathematics, Phisics, Electrical Engineering, Communication Engineering, or equivalents;

• knowledge in artificial intelligence, complex systems, agent-based modeling and simulation.