23 software-defined-networking Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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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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                battery fire combustion and spread. Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret 
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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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                mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation. Experience of test 
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                and FDS is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT and FDS, Meshing tool and post-processing software. Able to work independently with 
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                . Design and execute experiments to evaluate 5G systems and use-case performance through simulations, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput 
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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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                voltage conditions using circuit simulation software. Develop advanced control strategies to meet the application requirement. Job Requirements Master/Ph.D. degree in Electrical/Electronic Engineering 
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                using CST Studio Suite and circuit simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful 
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                software for charger communication and control. Work on energy storage integration for marine charging infrastructure. Collaborate with industry partners and regulatory bodies on marine charging standards