-
distributed sensing technologies. The role will focus on distributed acoustic sensing on pre-existing telecom fiber networks, mobile sensing using vehicle fleets, multi-modal data fusion, and structural system
-
learning models. Strong background in machine learning optimization, with experience in distributed or multi-node collaborative training; experience in large-scale training is highly desirable. Strong
-
delivery of assigned Thrust 3 milestones and outputs. Job Requirements: PhD in Electrical or Electronic Engineering, Computer Science, Computer Engineering, Cybersecurity, Applied Cryptography, or a closely
-
Requirements: PhD in Civil/Structural Engineering, Geophysics, Seismology, Engineering Mechanics, Electrical/Computer Engineering, Applied Physics, Optical Engineering, Computer/Data Science, or a related field
-
. Job Requirements: PhD in Geophysics, Seismology, Civil/Structural Engineering, Engineering Mechanics, Applied Physics, Electrical/Computer Engineering, or a related field. Strong research record in
-
Responsibilities: Developing and optimising Double-D coil-based WPT systems Simulating WPT efficiency, electromagnetic field distribution, impedance matching, and misalignment tolerance using electromagnetic
-
sensing data Plan and conduct field deployments using seismic and distributed acoustic sensing systems Publish research findings in peer-reviewed journals and present results at national and international
-
School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
-
under internal company contract and in external collaborative projects etc. Key Qualifications: PhD in computer science specialised on data sharing, digital twins, distributed databases, AI, or a related
-
-delivery architectures; High-frequency and high-power-density power conversion; DC distribution systems; Wide-bandgap semiconductor-based converters; Renewable energy and energy storage systems. Experience