Research on automatic analysis of vocal and speech signals - 2026_IDR_DEIB_18
Posted on: 10/03/2026
Deadline: 16/04/2026
Scientific-Disciplinary Group
09/IINF-03 - Telecommunications
Description
The research program is aimed at developing innovative techniques and tools for the automatic analysis of vocal and conversational content, with a particular focus on healthcare applications and natural language understanding. The activities will involve the study, design, and validation of signal processing and machine learning algorithms for the extraction of acoustic, prosodic, and semantic parameters from voice recordings.
Job posting website
Number of positions
1
Funding body
Politecnico di Milano
Selection process
Click to expand
In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-incarichidiricerca
Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 40 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 10 points) Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 25 points) Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 25 points)
View the original posting on the MUR website: Go to MUR website