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We are recruiting full-time Research Fellows to develop hybrid physics-AI methods for weather applications Available data include: • Numerical weather prediction (NWP) model outputs
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data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research, supervise
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. Installation and operation of quantum photonic characterization setups and overseeing the progress of the project. Job Requirements: PhD in relevant area (electrical engineering, materials science, and physics
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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Qualifications: • Ph.D. in Electrical Engineering, Applied Physics, Materials Science, Optical Engineering, or a related field. • Strong background in nanophotonics, metasurfaces, and polarization optics
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1. A PhD in Physical Geography, Ecology, Earth System Science, or a related discipline (preferably obtained within the past three years). 2. Knowledge of the key processes governing the terrestrial
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, briefing papers, correspondence, and other materials to support strategic decision-making, institutional reporting, industry engagement, and monitoring of Centre performance. Process Improvement and Centre
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physics, non-Hermitian theory, and nonreciprocal thermal photonics. The role will focus on the theoretical modelling, numerical simulation, and experimental analysis of diffusive and thermophotonic systems
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1. PhD degree in Photonics, Optical Engineering, Electrical and Electronic Engineering, Applied Physics, or a relevant field, with a strong background in integrated photonics, nonlinear optics
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biocatalysis. The Research Fellow will help conduct large-scale bioinformatic, mechanistic, and structural analyses to elucidate the physical basis of enzyme activity; develop computational models that integrate