23 software-defined-networking Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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                Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and timeliness are paramount. The successful candidate will be responsible for the end-to-end investigation of novel 
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                work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through 
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                learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI 
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                for a real-time AR/VR multiplayer system. (network engineer) Design, build, and implement the the game engine for both client and server. (game engine software engineer) Perform testing Perform 
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                numerical framework to capture droplets evaporation behaviour. The project requires the Research Fellow to work with both commercial and opensource numerical software to accurately predict and capture complex 
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                for a real-time AR/VR multiplayer system. (network engineer) Design, build, and implement the the game engine for both client and server. (game engine software engineer) Perform testing Perform 
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                system. (network engineer) Design, build, and implement the the game engine for both client and server. (game engine software engineer) Perform testing Perform documentation and optionally publishing paper 
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                learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI 
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                , emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements. Prototype and 
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                , emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements. Prototype and