FBK offers a unique stimulating and exciting environment to its PhD students. PhD students supervised by FBK researchers conduct their work in the lab of the research units, in strict collaboration with the units’ teams and under the supervision of top-ranked researchers, targeting the highest scientific and publication standards.
The PhD program is carried out in collaboration with prestigious national and international affiliated universities. Over 90 PhD students are allocated to FBK's research units and are actively involved in international research projects and mobility programs.
Most alumni of the PhD program have an exceptionally strong publication and citation record, and have been enrolled in prestigious institutions, as IBM T. J. Watson and University of Colorado at Boulder. During the FBK PhD Day, the best PhD student who graduated in the previous year is granted a monetary award.
If you are interested in the following research topics, send your expression of interest to the contact persons:
Alfio Gliozzo has 16 years of research and development experience in the field of Artificial Intelligence, with strong focus on Natural Language Processing and Semantic Web. He is currently managing the Knowledge Induction department at IBM T.J. Watson Research and teaching Cognitive Computing at Columbia University. He was part of the Deep QA team that developed Jeopardy! system.
Elena is an assistant Professor at the University of Nice Sophia Antipolis. Her research is on Natural Language Processing, Semantic Web, Question Answering, Textual Entailment and Linguistics
Dr. Leo Huf Campos Braga worked on his PhD at FBK within IRIS team from October 2010 to April 2014. He got his PhD from University of Trento in April 2014 and joined NXP Semiconductors (Eindhoven, The Netherlands) as principal Scientist in August 2014. In January 2016 he moved to EFFECT Photonics where is now Module Engineering Manager of the team in charge of designing the optical communications module, including mechanics, electronics, firmware and optical sub-assembly.
Specialties: Supervised learning, kernel methods, statistical machine translation, natural language processing, software architectures for text processing, summarization, information extraction, relation extraction, event learning.
Research Interests: Formal methods, verification of hybrid systems, verification of infinite-state systems, abstraction refinement techniques, parameter synthesis, satisfiability modulo theories.
Research scientist, data scientist, research project manager and software engineer with more than 10 years experience in a variety of machine learning, ranking, personalization, text mining and natural language processing applications, including information extraction, summarization, topic labeling, text understanding, machine translation and semantics, in monolingual and cross-lingual environments. Interested primarily in bringing various creative ideas to real world applications.
Research scientist in the areas of service-oriented computing and artificial intelligence. His research interests include service composition, dynamic process adaptation, user-centric services, collective adaptive systems, AI planning. Heorhi obtained his Ph.D. in computer science in 2012, with the thesis: Service Composition in Dynamic Environments: From Theory to Practice.
- Paolo Tonella (Chair, ICT)
- Claudio Piemonte (CMM)
- Luciano Serafini (ICT)
- Annapaola Marconi (ICT)
- Bernardo Magnini (ICT)
- Leandro Lorenzelli (CMM)
- Marco Ventura (ISR)
- Roberto Riggio, Raffaele Giaffreda (Create-net)
Secretariat: Patrizia Ianes (ianesfbk.eu)
Further information about working in FBK and living in Trento can be found at the Welcome office web site