Data mining, Cultural heritage, Information systems
Prospective candidates have to teach in "Data Analysis and Management for Cultural Heritage" (10 hours course), supervise and tutor PhD students. The goal of the course is to introduce some of the most recent techniques for the management of complex data that can be applied to GLAMs (i.e.. Galleries, Libraries, Archives and Museums) related data. The course aims at presenting the most advanced techniques for data management that can be used to boost the impact of GLAMs activities on various stakeholders, e.g., tourists, scholars, etc. Students have to be introduced to the issue of data management, in particular oriented towards texts.
Excellent Research and Teaching Experience in the field of efficient algorithms and data mining techniques for the management of big data, in particular applied to Cultural Heritage, and large scale data analysis for Cultural heritage. Teaching experience at PhD level in national and international contexts is also required.
- Master Degree in Information Sciences or Computer science;
- International academic and professional experience;
- excellent publication record;
- former teaching experience (PhD level) in English
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)
- A scanned copy of a valid identity document (Passport or Identity Card - compulsory);
- Your CV in English (compulsory).