The ideal candidate has a strong background in computer science, physics, mathematics or related areas and is strongly motivated to work in an interdisciplinary environment. The candidate is expected to enroll at the University of Trento and will perform his/her research activity at FBK, within the Complex Multilayer Networks (CoMuNe) Lab.The candidate is also requested to stay in Berlin for a period of a few months at specific times (additional funding for mobility and for periods of research are granted by the MPIWG). Fluent English is an additional requirement. Further languages such as Italian and German are welcome but not required.
The scope of the PhD is to develop models for the analysis of multilayer networks that meet the requirements dictated by the use of datasets extracted from historical sources. Such data are usually described by a particularly high number of attributes and are correlated to each other by means of a very high number of ontologically different relations. Moreover, the models will have to guarantee a correct rendering of the knowledge evolution mechanisms (historical time) as formulated in the frame of the historical research project. The PhD is in math and the candidate has to possess a solid educational background for this purpose.