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student. Job Requirements: PhD in mathematics, applied mathematics, physics, control theory, electrical engineering, or a related field with 4 years of relevant experience. Research record in open quantum
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, based on simulation models in Aspen, COMSOL, etc. c. Control theory & applications — including nonlinear systems, MPC, reinforcement learning, stability analysis, etc.
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internally at the University of Sydney and externally across multiple institutions publish research papers on mathematical theory and the development and analysis of algorithms explore how artificial
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, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc
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theory, reinforcement learning, robotics and perception. You will investigate new algorithms and methods for robust and adaptive manipulation, including learning-based control for robotic systems and
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the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to: • Traffic flow theory, • Traffic control in urban and highway contexts
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, Mechanical Engineering, Marine Engineering, Aerospace Engineering, or a closely related field. • Strong background in dynamic systems modelling and control theory. • Experience with MATLAB/Simulink and
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to pantropical scales Apply ecological and plant physiological theory to explore mechanistic process controls and plant trait variation on ecosystem structure and the large-scale exchange of carbon, water and
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dynamics, operator-theoretic analysis, or systems control engineering for the research project, “Quantum nonlinear dynamics theory for understanding, prediction, and control of quantum dynamics ” (Principal
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and simulation using tools such as MATLAB/Simulink, DIgSILENT PowerFactory, OpenDSS or equivalent programming in Python, MATLAB or similar languages optimisation, control theory, machine learning