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Field
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sustainable manner. Key Responsibilities: Develop advanced experimental apparatus to investigate coupled multiphysics processes in porous materials (e.g., clay). Develop constitutive models and numerical tools
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for temporal quantum learning. Construct and analyse quantum reservoir-induced kernels and associated finite-sample bounds. Run numerical simulations and benchmarks validating the theory. Publish in leading
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, developing complex numerical models and validating them against datasets generated by collaborators. The candidate will use surrogate modelling and data-centric approaches to complement simulations
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intervals Job Requirements: PhD degree in Mechanical/Electrical/Civil Engineering or equivalent Good knowledge of ultrasonic NDT/SHM Good numerical simulation skills Good programming skills (Matlab, C
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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and numerical simulation of irradiation of atoms and molecules by laser pulses, First-principles electronic-structure theory using real-time density functional theory. Refereed publications in
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the vision of a chip-scale, high-power EUV source for applications including EUV lithography and imaging. Key responsibilities include: Developing theoretical and numerical frameworks in free-electron-driven
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reports. Job Requirements: PhD in Physics, Applied Physics, Plasma Physics, or related field. Demonstrated experience in scientific computing and numerical modelling (e.g., Python/C/C++/Fortran). Experience
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control-system development. • Experience in multi-agent systems, autonomous systems, marine robotics, or coordinated control is advantageous. • Familiarity with numerical simulation and integration
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and