Website of the Doctorate

Director: Prof. Bruno Crispo
Deputy-director: Prof. Paolo Rocca

Curricula:
1. Computer Science
2. Telecommunications

Aims:
The Doctoral Programme in Information and Communication Technology operates within the Department of Information Engineering and Computer Science.
The doctorate programme delivers the skills necessary to conduct advanced research at universities, public bodies, or private organizations for the purpose of advancing scientific and technological progress and creating a managerial class with a high-level professional culture and a corresponding international openness. The specific objective of the doctorate programme is to train professionals able to develop high-quality and innovative information and telecommunication systems addressed to solving complex problems. It also pursues the goal of enhancing the doctoral students’ entrepreneurial abilities by furnishing specific training and opportunities to undertake internships. In general, professional growth is fostered within the following various areas of interest: Bioinformatics; Computer Vision; Cyber Security; Data Analytics and Management; Deep and Structured Machine Learning; Distributed Sensing; Embedded Systems; Formal Methods; Human-Computer Interaction; Knowledge Management; Machine Learning; Multimedia Analysis; Natural Language Processing; Pattern Recognition; Remote Sensing and Radar; Signal Processing; Social Informatics; Software Engineering; Speech and Dialogue; Systems and Networks; Wireless Networking; Wireless Technology and System.

The Doctoral Programme in Information and Communication Technology encourages transdisciplinary programmes to pursue the promotion of cross-disciplinary research within the PhD programme, the training of PhD students with cross-disciplinary skills and the increase of collaborations with the other institutions.
The available transdisciplinary programmes are:

  • "Computational Biology”, in collaboration with the Doctoral Programme in Biomolecular Science of CIBIO - (UniTrento).;
  • “Space Data Science and Technology”, in collaboration with the Doctoral Programme in Physics (UniTrento);
  • “Quantum Science and Technologies”, in collaboration with the Doctoral Programmes of UniTrento, in: Physics; Mathematics; Materials, Mechatronics and Systems Engineering; Civil, Environmental and Mechanical Engineering.

Scientific areas:
INF/01  Computer science
ING-INF/01  Electronics
ING-INF/02  Electromagnetic Fields
ING-INF/03  Telecommunication
ING-INF/05  Information Processing and Computer Engineering

Duration: 3 years