Machine Learning for sensor data processing
Deadline: 04/05/2026
Scientific-Disciplinary Group
09/IINF-05 - Information Processing Systems
Description
Sensor networks generate large amounts of heterogeneous, often noisy, continuous, and spatially distributed data. Traditional analysis techniques are often insufficiently robust and scalable, while machine learning methods can extract complex information and support automated decision-making. Artificial intelligence can be used to optimize sensor placement, predict their behavior, and identify potential failures through anomaly detection algorithms. Models based on recurrent and graph neural networks and information fusion techniques enable the integration of data from different devices, improving overall system reliability. Modeling biological systems in relation to their interactions with sensing devices is also particularly relevant
Job posting website
https://www.unisi.it/ateneo/concorsi-gare-e-appalti/incarichi-di-ricerca
Number of positions
1
Funding body
Università degli Studi di Siena
View the original posting on the MUR website: Go to MUR website