- consolidate and extend the knowledge of the state of the art in drownsiness detection; - identify and select the appropriate methods for the present study; - develop research skills through the application of the selected methods; - exercise a critical spirit in evaluating the research process and the results obtained.
Degree in Electrical Engineering, Bioengineering or similar
Minimum profile required
- global grade average in master greater than or equal to 14 (in 20).
- experience in deep learning models; - experience in computer vision; - experience in python.
Since 02 Dec 2020 to 18 Dec 2020
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia