8 distributed-algorithm-"UNIS" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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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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edge-assisted offloading strategies for IoT networks. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is
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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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. Awards will be finalised by July 2026. Supported Areas for START - Engineering Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission
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electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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electrical power distribution system. Prior knowledge on power system condition monitoring would be an advantage. Experience in project work would an advantage. Share this job Facebook Twitter LinkedIn Apply