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Research Opportunity
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Research Opportunity

Electrical engineering


Work description

- prepare a survey on human action recogniton based on RGB video and audio data; - investigate and propose new solutions to recognize human activities in the presence of strong occlusion, 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;

Academic Qualifications

Student in an Master in Electrical Engineering, Informatics, Bioengineering or similar

Minimum profile required

- global grade average in study cycle or in the first 3 years of the study cycle 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 16 Mar 2022 to 29 Mar 2022


Cluster / Centre

Networked Intelligent Systems / Telecommunications and Multimedia

Scientific Advisor

Jaime Cardoso