The PhD in Computer Science aims to prepare PhD researchers in all major areas of Computer Science research. The PhD aims to provide high-quality training aligned with the highest international standards. The PhD College includes, among its members, the winners of ERC grants, IBM Faculty Award, Google Faculty Awards, Google Focused Awards, and Marie Curie Fellowship.
Our PhD researchers must be able to independently carry out and coordinate research activities in the academic world or international research institutes. Depending on their training, they should also be able to conceive and direct innovative computer system development projects to address complex, interdisciplinary problems emerging in cutting-edge industrial spheres. To this end, PhD candidates must acquire a solid foundation in both the fundamentals and applied aspects of various fields of Computer Science, understand thoroughly the scientific method of investigation, comprehend and utilize the methodological tools of other disciplines that support Computer Science and its applications, learn to evaluate, understand and interpret problems, even complex ones, characteristic of various application fields.
More specific research, teaching, and seminar initiatives have been undertaken in recent years to deepen candidates' knowledge in networks, distributed algorithms, theoretical computer science, software engineering, computer security, big data, artificial intelligence, and computer vision. This is a natural consequence of the strong interest in these areas among the college's members, substantiated and supported by numerous international awards and substantial funding from national and European projects.
Some projects, such as the European Centers of Excellence networks, Erasmus+ and Erasmus Mundus programs, and the Vinci program, provide specific funds to allow PhD students to spend short periods at the locations of other entities participating in the Centers of Excellence network.
In general, participation in research activities financed nationally and in Europe helps deepen PhD students' competencies in areas of particular theoretical and practical relevance, as well as collaboration with researchers from other institutions. Therefore, participation in funded projects is encouraged, considering it to have a significant educational impact. Also, training activities are provided to support the development of cross-cutting skills (ability to write and manage research projects on competitive calls, ability to develop innovation in its various declinations ranging from innovative entrepreneurship to the generation, protection, and exploitation of intellectual property).
|