1-year Research Fellowship focused on “Methodology for the recognition of malfunctioning in wind turbines via acoustic signals and artificial intelligence techniques” within the Research Program “sustainable ConditiOn Monitoring of wind turBines using sound sIgnals and machiNe lEarning techniques” – PRIN 2022 3LMSZN – COMBINE, funded by the European Union- Next Generation EU.

• • Qualification: Degree in Informatics (23/S; LM/18);
  • Requirements: acquired experience in the subject matter (see art. 1) in the modalities described in art. 4; advanced/intermediate experience in coding – specific experience in Python – advanced/intermediate knowledge of machine learning and deep learning models – capability in developing apps – knowledge of English – knowledge of Italian (for foreign candidates)
  • Scientific Area: Physical Sciences.
  • Supervisor: Luca Fredianelli
  • Place of work: Pisa
  • How to apply: IPCF-AR-005-2023-PI
  • Deadline: December 12 2023
  •  
  •  
  •