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control algorithms. Perform experimental testing, data analysis, and performance evaluation of power electronic systems. Develop simulation models using tools such as MATLAB/Simulink, PLECS, or PSCAD
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design, algorithmic aesthetics, interactive media, game design, experimental typography, motion graphics, participatory VR/AR and UI/UX experiences and AI generated content. Educational Profile Through
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detection under normal and induced fault conditions. Develop and implement condition monitoring, anomaly detection, and fault prediction algorithms for rotating electrical equipment. Analyze electrical
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art and technology, the successful candidate will connect theory with artistic practice, including but not limited to generative design, algorithmic aesthetics, interactive media, game design
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understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Demonstrate
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fusion of sensor data and energy harvesting output, enabling adaptive and energy-aware data acquisition from textile-based wearable systems. Build adaptive algorithms that dynamically optimise data
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height calibration and image segmentation algorithms). Consolidate data from different sources to input machine learning modelling. This includes near-continuous interventions or treatments, plant sensing
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? How do social media algorithms influence what information the public encounter? How does AI reshape who and what audiences trust when forming opinions? You are expected to leverage on mixed-method and
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and familiarity with radar signal-processing algorithms. Key responsibilities include contributing to radar hardware architecture, system integration, and the construction of experimental sensing
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publication records will be preferred. Experience in matlab, MEEP, RCWA and other softwares and algorithms. Excellent publication track records. Good understanding of nonlinear and quantum optics. Strong