Electrical engineering
[Open soon]
Work description
- prepare a survey on multimodal vision models based on deep learning with interpretability requirements; - investigate and propose new solutions to integrate heterogeneous visual sources, overcoming the limitations of current systems; - carry out an experimental comparative study of the proposed solutions and state of the art, based on project datasets or publicly available; - write a scientific article; - write the activity report for the scholarship.
Academic Qualifications
student of a first cycle of higher education studies in electrical engineering, informatics, bioengineering, informatics or a related field; student of an integrated higher education master's degree in electrical engineering, informatics, bioengineering, informatics or a related field
Minimum profile required
- global grade average in master greater than or equal to 16 (in 20).
Preference factors
- experience in computer vision; - experience in machine learning models; - experience in deep learning models; - experience in python.
Application Period
Since 25 Jan 2022 to 08 Feb 2022
[Open soon]
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia