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[Appointment period: twelve months] Duties The appointees will assist the project leader in the research project - “Numerical analysis of inverse problems for partial differential equations”. Qualifications
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Fellow - Frontier of AI driven Inverse Design of Functional Materials School of Interdisciplinary Studies (Post Ref.: 25/176) Professor Xi Chen, Dean of the School of Interdisciplinary Studies and Chair
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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Develop novel algorithms for multi-agent inverse
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Research Fellow in Electromagnetic Field Mapping via Scanning Transmission Electron Microscopy Job No.: 682389 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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the system Development of inverse design frameworks using machine learning Development of full simulation for the chip-scale chirped-pulse amplification Use the full simulation to guide system fabrication
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element method, wave propagation analysis, inverse problem, machine learning (ML), and artificial neural network. Strong background in research publications in the desired field. Experience mentoring other
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems