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automated verification and debugging techniques for numerical programs. These programs are widely used in safety-critical systems, data analysis, weather forecasting, physics, engineering and more, but
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learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security. The Division of Systems and Control enjoys
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numerical modelling will use new and emerging methodologies in order to gain a comprehensive and quantitative understanding of littoral carbon and greenhouse gas fluxes. Duties In collaboration with other
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research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material science, and
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approach to technical work and good collaboration skills Coursework or other experiences with the following subjects are valued: optimization, linear algebra, signal processing, probability, random processes
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. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems