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1 week ago
We are seeking a highly skilled Research Fellow to join our team in an exciting applied research project within the Infocomm Technology cluster. This project addresses the critical challenge of delivering real-time Artificial Intelligence services in Internet of Things networks.
The successful candidate will be responsible for investigating novel edge-assisted offloading strategies for IoT networks, bridging theoretical work with hands-on algorithm design and development. The core responsibility is to build and validate edge-assisted offloading strategies through simulations and live demonstrations.
Key Responsibilities:- Participate in managing the research project to ensure all deliverables are met.
- Derive theoretical latency and timeliness expressions for cloud-hosted AI services and edge-assisted offloading strategies.
- Analyze latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies.
- Design and develop edge-assisted offloading strategy and associated software APIs.
- Validate edge-assisted offloading strategy via simulations and live demonstrations.
A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent is required. Independent analytical skills and strong theoretical background in wireless communications or edge computing are advantageous.
Requirements:- Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
- Strong theoretical background in wireless communications or edge computing.
- Independent analytical skills.
This role presents an excellent opportunity to contribute to cutting-edge research and gain valuable experience in the field of IoT and AI.
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