PhD course in
Computer Science and Artificial Intelligence

Call 2021

(in Italian, see also preview
English version here)

The Department of Mathematics, Computer Science and Physics of the University of Udine hosts the PhD course in Computer Science and Artificial Intelligence in agreement with Fondazione Bruno Kessler. The course continues an outstanding tradition in computer science teaching and research at the University of Udine, and ideally links up with the best science education courses in Italy at master level, as stated by the 2020/21 official ranking made by CENSIS. This tradition is further enriched by the dynamic, project-oriented knowledge production running at Fondazione Bruno Kessler, generating an ideal environment where top students can meet excellence in both theoretical as well as applied research fields.

The course is active since the XXXVII cycle (2021/22), and originates from the splitting of the PhD course in Computer Science, Mathematics and Physics. It resumes the tradition of the previous PhD course in Computer Science, active across thirty years since the first national cycle (1983/84) until the XXX cycle (2012/13).

Training goals

The PhD course in Computer Science and Artificial Intelligence will graduate students with top skills, in topics that are listed below with links to the involved scientists belonging to the PhD Board, also in the context of a multi-disciplinary research plan:

  • Acoustic scene analysis and Machine listening
  • Algorithms
  • Artificial intelligence in agrifood
  • Automatic planning and scheduling
  • Autonomous systems
  • Blockchain and Digital ledger technologies
  • Computational biology and Bioinformatics
  • Computational intelligence and Optimization
  • Computer vision
  • Crowdsourcing
  • Cyber-security
  • Data science and Big data analytics
  • 3D digitalization with Artificial intelligence
  • Distributed systems: models and applications
  • Formal methods and Automatic verification
  • Human-Computer interaction, Auditory-tactile interfaces
  • Knowledge representation and Automatic reasoning
  • Information retrieval
  • Internet of things: platforms and technologies
  • Logics in computer science
  • Machine learning and Deep learning
  • Medical informatics, Tele-medicine and e-Health
  • Methodologies, languages and techniques for problem solving in artificial intelligence
  • Natural language processing
  • Predictive monitoring, diagnostics and maintenance
  • Social systems and Recommendation systems
  • Software engineering
  • Virtual reality, Serious games

Additional information

See the official PhD page at the University of Udine web site for calls and admission.

A list of the research topics of the PhD members is detailed here.