Data Mining for urban mobility
Elaboration of the state-of-the-art in urban mobility based on location data from mobile phones, Development, implementation, and evaluation of algorithms to identify trajectories, identification of frequent trajectories, and habits. Identification of gatherings of people in public spaces. Preparation of applications for R&D projects, team management, and guidance of junior researchers.
PhD in Informatics Engineering or related areas
Minimum profile required
PhDs with post-doctoral experience or scientific curriculum after a Ph.D. in knowledge extraction and machine learning.
Participation, possibly including positions of responsibility, in research and development projects in analysis of social networks in telecommunications, analysis of data flows, publications in magazines in the field of telecommunications, and knowledge extraction.
Since 17 May 2021 to 21 May 2021
Cluster / Centre
Computer Science / Artificial Intelligence and Decision Support