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pulses develop numerical codes to calculate the system dynamics by solving partial differential equations (e.g. Schrödinger equation, von Neumann equation) model the coupling to lattice vibrations (i.e
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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global analysis, functional analysis or analysis of partial differential equations Language proficiency in English or German These posts are designed to serve in fostering young researchers. It gives
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of the areas number theory, geometry, non-commutative geometry, topology, analysis of partial differential equations, mathematical physics Language proficiency in English or German These posts are designed
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models through specific activation functions. This project will be undertaken in collaboration with Dr Hemanth Saratchandran and Prof Simon Lucey of the Australian Institute for Machine Learning, and
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Full-time onshore enrolment Strong background in fluid-structure interaction or in systems and control Solid background in mathematics (theories in both ordinary and partial differential equations
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature