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three universities / develop cutting-edge stochastic multiscale models for biology and ecology / supportive entry-level role with strong mentoring Join our multidisciplinary team to shape new mathematical
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Level B: $122,212 - $145,121 p.a. plus 17% super ARC funded stochastic optimisation project on correlated restless bandits / collaborate with leading international investigators / develop independent
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/stochastic optimization and proficiency in Python or MATLAB. Applicants are invited to contact Dr Liu Wei at telephone number 2766 6928 or via email at [email protected] for further information
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of the external grids Establish a stochastic differential algebraic equation (SDAE) based analytic framework for interdependent electromechanical and electromagnetic dynamics modelling and analysis Design data
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the following areas: Quantum algorithms Quantum stochastic processes and quantum combs Machine learning and statistical learning theory Reinforcement learning Differential privacy Model reduction and
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theoretical statistics, statistical machine learning, high-dimensional inference, empirical process theory, stochastic modeling, optimization, or related areas. • Experience with writing and developing
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• PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Quantitative Finance, or a closely related discipline. Skills: • Strong background in probability theory, stochastic
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closely related field. Strong background in structural reliability, probabilistic modelling, stochastic dynamics, uncertainty quantification, or related areas. Experience in developing and implementing
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; simulation-based optimisation; stochastic and robust optimisation; heuristic and metaheuristic optimisation; transport, logistics, energy or infrastructure optimisation; resource allocation and scheduling
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: Familiarity with rainfall–runoff modeling platforms (e.g., HEC-HMS, National Water Model, or NextGen) Understanding of flood frequency analysis (FFA), extreme precipitation, or stochastic hydrologic methods