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
Apply ONLINE only.
Before filling in the application form, please read thoroughly the full call and collect all the files you may need:
- Personal info and contact info (compulsory);
- University degree (compulsory);
- PhD (compulsory only if stated in the full call).
- The scanned copy of a valid identity document (Passport or Identity Card - compulsory);
- Your CV in English (compulsory).