*Extracting information from clinical documents in a multilingual perspective*
*Deadline for application: November 28 2022, 13:00 CEST* One three-year PhD grant on Extracting information from clinical documents in a multilingual perspective is offered by the Doctoral Program in Brain, Mind & Computer Science (BMCS, http://hit.psy.unipd.it/BMCS) at the University of Padua, jointly with the Natural Language Processing research unit (https://ict.fbk.eu/units/nlp/) at Fondazione Bruno Kessler (Trento, Italy), where most of the research activities will be conducted. The language of the PhD programme is English.
The deadline for application is: November 28 2022, 13:00 CEST
For more information, the call, and applications look at: http://hit.psy.unipd.it/BMCS/admission
The candidate will have the unique opportunity to explore different fields (Natural Language Processing, Machine Learning, Health & Well-Being) being directly coached by very experienced teammates. The involved PhD will work in an international environment at Fondazione Bruno Kessler (Trento, Italy).
Fondazione Bruno Kessler is an internationally well-known research center, whose information technology department ranks first among the Engineering and Information Science research centers in Italy.
The Natural Language Processing research unit (https://ict.fbk.eu/units/nlp/) is an internationally well known research group focused on text mining (information extraction and ontology population from text, analysis of the sentiment and of the emotional content of texts); conversational agents (task oriented dialogue systems, question answering, generation of persuasive messages); and development of linguistic resources, particularly for the Italian language. To get in contact with the NLP research unit and discuss about the opportunities of this call, contact Alberto Lavelli (lavelli@fbk.eu)
The Doctoral Program in Brain, Mind & Computer Science (BMCS) emerges from the close collaboration between faculty from psychology, cognitive neuroscience and information science around the unifying topic of human-computer interaction. Its program rests on the assumption that the ability to work in groups with people of different background is now a fundamental condition to produce scientific excellence and to develop innovative skills that can be spent on the job market.
****Required/Preferred Candidate Skills and Competencies**** The candidate should possess basic knowledge on Natural Language Processing and Machine Learning techniques (particularly deep learning architectures). Experience on biomedical/clinical data will be a plus. Basic programming skills (e.g. Python) would complete the profile.
Proficiency in English is required, basic knowledge of Italian preferable.
****Instructions for applicants**** Interested applicants are invited to apply following the instructions given in
https://pica.cineca.it/unipd/dottorati38pnrr
by November 28 2022, 13:00 CEST
For further information, please contact: Alberto Lavelli (lavelli@fbk.eu)