Vacancies
| Details | |
|---|---|
| Project Title | Intelligent Resource Allocation for Efficient Task-Oriented Semantic Communication Systems |
| Location | Sg. Long Campus |
| Stipend | RM2,000 per month |
| Entry Requirement | 1. Accredited Bachelor degree with Honours in Electrical / Electronic / Telecommunications / Networking / Computer Science / Software Engineering / Information Technology / Applied Mathematics 2. Proficient English reading and writing 3. Proficient in MATLAB and Python |
| Job Description | Artificial Intelligence (AI)-based task-oriented semantic communications, which focuses on transmissions of the semantic content of source data, show much promises. By only transmitting the semantic content of the source message as required at the receiver, the amount of data required to be transferred over the channel becomes substantially reduced, compared to conventional data transmissions. This project aims to develop an artificial intelligence-based resource allocation scheme for task-oriented semantic communication systems, which is channel-aware and capable of guaranteeing high degrees of semantic transmission and energy efficiencies.
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| Field of Study Related to the Research Project | Engineering (Master of Engineering Science) |
| How to Apply | If you are interested, please contact Dr. Lee Ying Loong via email at leeyingl@utar.edu.my |
