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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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the development of new tools for coupled oscillator theory in time-delayed systems of differential equations. The resulting models will be analysed with analytical tools from applied mathematics and numerical
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systems of differential equations. The resulting models will be analysed with analytical tools from applied mathematics and numerical studies in the Julia programming language. The successful candidate
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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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Anemometry (LDA), and Particle Image Velocimetry (PIV). Extend existing in-house wind field models (based on stochastic differential equations such as Langevin or Fokker-Planck types). Integrate novel
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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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reservoir engineering, the main research is focused on mathematical physics, exact and asymptotic solutions of non-linear partial differential equations, and analytical methods in fluid mechanics. MSc
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interaction or in systems and control Solid background in mathematics (theories in both ordinary and partial differential equations) Application process Please contact us via the EOI form Enrolment Requirements