The doctoral research related to this curriculum will be focused on resilience, sustainable development paradigms, circularity and actions against climate change to be implemented in territories, communities and production processes and in the consumption of resources and energy. The goals will be ambitious and involve a range of technological and sectoral challenges that vary from sustainable technology for energy sector, chemical and industrial processes, transportation to smart city and energy communities.This requires a new multi-transdisciplinary approaches and integrated objectives to ensure the close of carbon cycle in every aspect of industry and building sector. The PhD candidates will be encouraged to assess the sustainability of their research in order to implement the multi-scale and inter-sectoral perspectives of resilience, sustainability and circularity.
The PhD in Sustainable Development and Climate Change combines the skills of the best Italian universities, creating an interuniversity and multidisciplinary educational roadmap.
An original PhD program that combines the experience and knowledge of professors from different fields of study with the skills of the students. The final aim is to define tools and methods to promote the ability of future generations to understand the evolution of the climate, as well as to design and implement new solutions for a sustainable society in all its aspects.
We want to instill knowledge and bring forth talents capable of contributing, with their own ideas, to the creation of a just and innovative society, in total harmony with the planet.
Determining the carbon footprint of any process is crucial to determine its sustainability. This course provides the general knowledge to conduct a life cycle environmental impact analysis of a process or product.
The course aims then to show how urban and regional spatial planning can be re-oriented in order to take on accessibility as one of its key objectives.
The training objective is knowledge of microgrids and how to model sizing issues with an increasing incidence of renewable energies, knowledge of the concept of resilience and identification of KPIs for decision-making strategies with competing objectives.
Beginning from the analysis of the various collective transport systems, the student is able to plan the project of a transport system in an urban area, with the aim of methodological experimentation directed on a real case.
The course addresses the challenges arising in the Big Data era, examining big data processing and knowledge extraction for big data. Specifically, the course covers how to collect, store, retrieve, and analyze big data to mine useful knowledge.
The course seeks to impart a broad understanding of the methods, tools and skills required for conducting analyses of environmental impacts, vulnerability and risks posed by climate change in the context of global environmental changes.