Vacancy (Research Scholarship Scheme)

Project Title: Classification of Artifacts in EEG Signals through Deep Learning
Location: UTAR Kampar Campus
Stipend:

RM2,000.00 (Full Tuition Fee Scholarship for candidate with CGPA: 3.5000 and above T&C)
Education Level:

Bachelor of Computer Science / Bachelor of Engineering (E&E) / Bachelor of IT
Specific Skills / Knowledge Required: Knowledge in machine learning
Job Description

1. Identify and predict/classify different types of artifact features contaminating EEG signals
2. To be able to implement and evaluate different machine learning and deep learning algorithms

How to apply: If you are interested, please contact Dr. Ashvaany at ashvaany@utar.edu.my