Vacancies
| Details | |
|---|---|
| Project Title | Context-aware object recognition robotics system with localization information for People with Mild Cognitive Impairment |
| Grant | UTARRF 2025 Cycle 2 |
| Campus | Kampar campus |
| Stipend | RM 2,000 per month (total for 12months = RM 24,000) |
| Entry Requirement |
1. Bachelor's degree in IT or Computer Science or related field. 2. Got experience in using CNN/YOLO. 3. Able to modify the SOTA CNN/YOLO is a plus point. |
| Job Description | 1. Design a lightweight deep learning model for recognizing objects frequently used by PwMCI. 2. Optimize the developed deep learning model for reduced memory usage and faster execution to enable efficient deployment on embedded systems. 3. Design context localization mechanism to link the recognized objects with the robot position. |
| Field of Study Related to the Research Project | Business and Management - Doctor of Philosophy |
| How to Apply | If you are interested, please contact |
