**Job Description**
This project, AI-RBD (AI-driven video analysis for REM behavior disorder detection), aims to develop an artificial intelligence (AI) and computer vision-based system for the automatic detection of REM sleep behavior disorder (RBD)-specific behaviors in polysomnography (vPSG) videos. The research fellow will contribute to developing AI-based solutions for automated analysis of vPSG videos in the context of diagnosing sleep disorders, particularly RBD.
**Skills & Abilities**
� Knowledge of Computer Vision
� Knowledge of Machine Learning
**Qualifications**
Required Degree(s) in:
� Bioengineering
� Computer and Computer Engineering
� Electrical and Computer Engineering
� Artificial Intelligence and Data Science
� Related fields
Applicants must be enrolled in a study cycle or non-award course of Higher Education Institutions.
**Experience**
Experience Required:
� 0 years
Other:
� Experience in research activities (Preference factor)
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