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Field
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integral methods, stochastic modelling, optimisation algorithms, or numerical simulation. Candidates with interest in electromagnetic theory, quantum mathematics, wave chaos and complexity, as
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and approaches, as well as implementations that can be practically used. The first project targets specifically numerical programs that appear widely in e.g. safety-critical (embedded) systems, data
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, observation, modelling) in conjunction with major research infrastructures in the field, both on the ground (including the giant ELT telescope) and in space (CNES and ESA programmes). IPAG is a unit of the
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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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of information transmission, derive the theoretical models governing them and demonstrate their intriguing properties experimentally. The practical realizations of these topological metamaterials will be based
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) machine learning. The project will focus on one or a combination of the following focus areas, tailored to the candidate’s expertise and interests: Developing numerical models for the coupled mechanical
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12 Dec 2025 Job Information Organisation/Company Maastricht University (UM) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Biomaterial engineering
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studies of ices or materials. For PhD 3: experience or affinity with numerical modelling, fluid dynamics, or computational physics. Strong analytical skills and the ability to work independently and
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criteria: Strong background in nonlinear integrated photonics Research expertise documented by publications in integrated optics and nonlinear optics Advanced knowledge of numerical modeling and design of
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fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability to teach in German and English We offer