1-year Research Fellowship focused on “Processing of crowd-based traffic data generated by API for application in acoustic simulation models of road noise” within the Research Program “Data from crowdsourcing platforms for noise maps on digital twins: dynamic modelling of road traffic for the representation of urban noise in digital twins” -PRIN 2022BAL2F3 OUTFIT,  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; experience in programming –  knowledge of Python – experience in database management – knowledge of geographic data formats – knowledge of English – knowledge of Italian (for foreign candidates)
  • Scientific Area: Physical Sciences.
  • Supervisor: Elena Ascari
  • Place of work: Pisa
  • How to apply: IPCF-AR-004-2023-PI
  • Deadline: December 12 2023
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