12 PhD positions in Computer Science at University of Pisa
12 PhD fellowships in Computer Science at the University of Pisa, covering three years: Nov 2017 – Oct 2020
This PhD is a joint collaboration between the University of Pisa and the Universities of Florence and Siena. One of the 12 PhD fellowships is specifically reserved to students which got their master degree outside Italy, and one fellowship is devoted to researches on ICT for Industry 4.0. Fellowships are increased by 50% for periods of research visits abroad. Extra funding is available for participation to international conferences, schools, workshops, and short research visits. The language of the PhD program is English.
Since 1982, when it was established, our PhD in Computer Science aims to train researchers and innovators in Information Science and Technology, so our PhD students are involved since the beginning in the research activities, they are invited to attend monographic courses and international PhD schools, as well as to spend study and research periods in academic and industrial research centers in Italy and abroad. Our PhD offers strong relationships for research projects, internships and job placements with prestigious ICT companies worldwide in the area of Big Data and Web, Smart Communities and Social Networks, FinTech and Industry 4.0, BioInformatics and Smart Health, etc. Special attention will be devoted to internships in startups with an international visibility and, additionally, students will have the opportunity to attend the course “PhD+ : Research Valorization, Innovation and Entrepreneurial mindset”, launched by UniPI since 2011, in which young researchers are thought and trained on those soft skills with seminars on business modeling and planning, IP protection and valorization, communication tools and techniques, fund raising from public and private bodies, start-up creation, and so on.
At the end of the PhD, our students will be able to contribute to the definition of new models and theories for computation and information processing; foundations, algorithms and SW/HW platforms for the organization, storage and analysis of (Big) data; new languages and tools to support emerging programming paradigms, such as the ones required or designed in the area of Artificial Intelligence, Cloud and Fog computing, Internet of Things, Cyber Security, Networking, Programming paradigms and methodologies, etc..
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