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hands-on experience, more is a plus Profound understanding of pulsed laser science and/or perturbative nonlinear optics Team player with good communication skills Good command of English High motivation
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methods at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum
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Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good
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. The successful candidate will be joining the Nonlinear Optical Phenomena group led by Prof. Dr. Lluís Torner. The successful candidate will investigate the emergence of exceptional points (EPs) and their
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E
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. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear stability assessment, and control design
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 28 days ago
Description Two Postdoctoral Positions at The University of British Columbia Department: Mathematics (A) Postdoctoral research fellow in mathematical modelling and control theory in sustainable fisheries
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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement
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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch