Mathematics is revolutionising the study of history in an unprecedented way, creating the conditions for new research opportunities and the emergence of new perspectives. The candidate will develop novel mathematical models, mostly based on multilayer networks, to explain how ideas and knowledge change from a social and historical perspective. The project will be developed at the Fondazione Bruno Kessler in collaboration with the Max Planck Institute for the History of Science (MPIWG) in Berlin, with additional funding for mobility and for spending research periods in their headquarter.
Understanding and modeling human mobility patterns is of paramount importance for a variety of applications (e.g., modeling of epidemics spreading). Emblematic examples include migration flows at regional scale and mobility within cities.The candidate will develop novel (network) models of human movements with the ultimate goal of i) improving our understanding of local and global mobility patterns; ii) enhancing the prediction accuracy for real-world applications. The research activity will take place at the Fondazione Bruno Kessler, Complex Multilayer Networks Lab (FBK/CoMuNe) and will include international collaborations with leading Labs in the field of Network Science
Complex systems consists of units which interact nonlinearly and in different ways simultaneously, favoring the emergence of collective phenomena. The manifestation of complexity in physical systems arises across a variety of cases, from neural synchronization in human brain to collective dynamics in social networks. As a consequence, structure, function and dynamics of a complex system can not always be understood by studying its units separately. Complex multilayer network approaches have proven to be a favorable approximation, pointing to commonality shared across a variety of systems. The candidate will develop a framework for modeling time-varying multilayer systems (such as the human brain) and interdependent multilayer networks, a scenario typical in systems biology. A special attention will be given to understanding and modeling percolation properties of such systems and their resilience to random or targeted structural/dynamical perturbations.
Building on empirical evidence for the strict relationship between human brain and cognition, generally referred to as mind, this project between FBK and APSS (Azienda Provinciale per i Servizi Sanitari della Provincia Autonoma di Trento) aims at integrating neuroimaging and neuropsychological analyses to quantify how mental pathways are altered in diseases and how they relate to structural and functional neural pathways.
FBK invites applications for a research position in the area of Network Science, in particular in network modeling of human mobility. The candidate must have proven skills in modeling and analysis of empirical networks, recognized scientific experience at international level and significant expertise with network tools and analytical techniques. The successful candidate will have strong mathematical and statistical bases, and is expected to contribute to the development of novel models and analytical tools to study human dynamics at the edge of Statistical Physics, Applied Mathematics and Computer Science. Large-scale mobility data will be provided by an industrial partner.