Vacancies
| Details | |
|---|---|
| Project Title | Training-Free Neural Networks for Data-Limited Learning in Imaging Contexts |
| Grant | UTARRF 2025 Cycle 2 |
| Campus | Sg Long campus |
| Stipend | RM 2,000 per month (total for 12months = RM 24,000) |
| Entry Requirement |
1. Bachelor's degree in Electrical/Electronic Engineering, Mechatronics, Software Engineering, Computer Science, Mathematics, or other relevant fields. 2. Good communication skills in English (both written and spoken) |
| Job Description | 1. Investigate the potential of Untrained Neural Networks (UNNs) for inverse imaging tasks under low-data and low-computation constraints. 2. Design novel UNN optimised for enhanced computational efficiency in inverse imaging. 3. Evaluate the performance of the proposed method. |
| Field of Study Related to the Research Project | Engineering (Master of Engineering Science) |
| How to Apply | If you are interested, please contact Ir. Ts. Dr. Chua Sing Yee via email at sychua@utar.edu.my |
