Statistical Physics, Complex Networks, Industrial Ecology, Critical infrastructures
The candidate will work on measurements for the comparison of hierarchical community structures. We shall generalise the analysis of the traditional mutual information, in a way to compare hierarchical partitions and hierarchical community structures. We shall perform validation of our model by considering artificial hierarchies, and on the hierarchical community structure of artificial and empirical networks. Furthermore, the experiments will also illustrate some of the practical applications of the hierarchical mutual information. Namely, the comparison of different community detection methods, and the study of the consistency, robustness and temporal evolution of the hierarchical modular structure of networks.
Possession of a four or five degree in Economics, Political Sciences or related areas. Experience of concepts of complex systems and network theory, organizational skills, knowledge of interactions between public sector, private and third sector. The candidate must have a curriculum with a suitable scientific and professional background for carrying out research activity in the required field. Excellent knowledge of English, both written and spoken.
€ 3.000,00 a year in total
1 year not renewable
Application
Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.
Info
- Personal info and contact info (compulsory)
- Number of your Identity Document (Passport or Identity Card) (compulsory)
- University degree and ongoing PhD (compulsory)
Attachments
- Your CV in English (compulsory)