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Numerical Methods for Functional Calculus Appl Deadline: 2026/05/01 04:59 AM UnitedKingdomTime (posted 2026/03/12 04:00 AM UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position
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Computationally efficient modelling & simulation and applications School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Lingzhong Guo Application Deadline: Applications
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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characterize and analyze experimentally the fluctuations occurring in the plasma. - ROCINANTE-D2: Your PhD thesis will consist in the development of an advanced Particle-In-Cell simulation framework in the Julia
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of ultracold atoms. - Develop and expand collaborations with theoretical groups and well development of numerical toolbox to simulate magnetic atom is optical lattices in line with strategic objectives. - Mentor
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numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support preparation of scientific manuscripts and presentations: Assist in drafting reports, papers, and conference materials
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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experience, in a relevant numerate subject, for example, mathematics, operational research, statistics or economics. Ideally, you should have an emerging track record of peer-reviewed publications and research