| Details |
| Project Title | Developing a Regression Framework for Predicting Extraversion Levels Using EEG Complexity Features from the
Social-Based Experimental Task
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| Campus | Kampar campus |
| Stipend | RM2,000 per month
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| Entry Requirement | 1. A Bachelor’s degree in Computer Science or a related field with a CGPA of 3.00/4.00 from a recognized university.
2. Familiarity with machine learning, especially regression methods.
3. Knowledge of EEG signal processing is an advantage but not required.
4. Ability to conduct research independently and publish in reputable journals.
5. MUET Band 4.0 or IELTS 6.0 (overall) or equivalent, if English is not your native language.
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| Job Description | 1. To carry out literature review.
2. To develop a regression model for predicting extraversion.
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| Field of study | Computer Science (Master of Science (Computer Science))
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| How to Apply | If you are interested, please contact Dr. Nur Syahirah Roslan via email at syahirahr@utar.edu.my
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