Thesis Code: 20003

Thesis Type: M.Sc. thesis in Machine Learning, Data Science, Computer Science, Mathematics, or equivalent

Research Area: Data Science for Industrial and Societal Application


  • Knowledge of Python
  • Software development skills
  • Basic concepts on data science, concerning data analysis, processing and machine learning
  • Basic concepts on machine learning



For parcel delivery services it is essential to have a system able to certify the delivery of the package by the courier. Therefore, in a scenario where companies are embarking on the digitalization race, it is necessary for logistics services to have smart media to speed up and make delivery certification methods more precise. For this reason, we propose a thesis that aims to create an intelligent system based on speech recognition and vocal recognition that allows at the same time to recognize the confirmation words pronounced by the recipient and to certify that the person who is receiving the package belongs to a list of suitable users.

The objective of this thesis consists in the study and implementation of machine learning algorithms useful for speech and vocal recognition. The proposed algorithms will be trained using open datasets. The candidate will have both the task of collecting the benchmark datasets and evaluating the best algorithms to apply for the case of study. The work has to be performed with audio processing algorithms including deep learning algorithms using popular framework (TensorFlow, PyTorch, Keras, etc..).

An optional step could be the study and the deploy of the algorithms in wearable devices (smart watches, smart band, etc..).

Contact: send a resume with attached the list of exams to specifying the thesis code and title.