The University of L’Aquila (https://www.univaq.it/) is a medium university in the L’Aquila city, the administrative centre of the Abruzzo Region. L’Aquila is a historical and cultural city on the Apennine mountains and 100 km east far from Rome. The university is a public teaching and research institution offering a full range of academic programmes including biotechnologies, sciences, economics, engineering, education, humanities, medicine, psychology, and sport sciences. With 7 departments, the University of L’Aquila offers its over 19,000 enrolled students 68-degree courses (divided between first and second level degrees), 9 research doctorate programmes, specialisation schools, specializing-master courses and vocational courses. Many members of its distinguished faculty of about 600 professors and researchers have received international recognition and are considered leaders in their fields of research.

The Department of Information Engineering, Computer Science and Mathematics (DISIM) (https://www.disim.univaq.it) is seeking for a 1-year (+1) Post-doctoral on Data Science and Machine Learning to work in the research framework of Territori Aperti project (http://www.territoriaperti.univaq.it).

Territori Aperti is a project funded by Fondo Territori Lavoro e Conoscenze di CGIL CISL e UIL that focuses on the management and analysis of data coming from natural disasters (https://www.territoriaperti.univaq.it). The project deals with the unique “disaster recovery” data regarding the devastating earthquake that occurred in 2009 in the province of L’Aquila, Italy, and the subsequent reconstruction of the region in the following years. Territori Aperti aims to: (i) conduct a data and model-driven deeper understanding of the resurrection of the socio-economic structure of territory after a catastrophic event; (ii) collect and analyze data on the health of citizens and on the environmental quality of the region before and after the disaster and the subsequent building reconstruction, in order to identify health impact of a natural disaster (earthquake); (iii) plan urban and logistical action and to define innovative reconstruction strategies and techniques in order to reduce and keep under control risks in case of natural disasters.

Responsibilities: The applicant will carry out research duties in the Territori Aperti Master. More precisely the research will be focused on: (i) conduct a data-driven understanding of the socio-economic structure of territory after catastrophic events; (ii) collect and analyze data on the health of citizens and on the environmental quality of the landscape; (iii) plan urban and logistical action in order to define innovative reconstruction strategies and techniques.

The research is framed into the field of Data Mining and Machine Learning. In particular, will be explored the techniques that are more suitable to collect, processing and analyse data that came from the highlighted domains. More specifically the explored techniques are related to data analytics (descriptive), statistical learning, machine learning and deep learning. Particular emphasis will be put toward techniques related to representation learning, temporal mining, and anomaly detection.


University of L’Aquila


Candidates must hold a PhD degree in Information Engineering, Computer Science or a related field. Candidates must have a demonstrated commitment to upholding the values of Equity, Diversity, and Inclusion in research and service. This includes the ability to foster creative and collaborative intellectual inquiry by bringing diverse knowledge, experiences and perspectives to learning activities and research projects. Candidates must demonstrate well-developed research in data science and analytics with an expertise in machine learning, with various application domains.

Specific requirements:

1-year (+1)

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

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