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to solar-driven thermophotovoltaic systems. By combining numerical modeling with experimental development, this PhD aims to bridge the gap between theoretical cavity designs and practical TPV subsystem
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proceed with the definitionand numerical implementation of the models for the simulation of the magnetic, electrical, thermal, and mechanical behavior of these devices. Appropriate experimental setups will
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(or equivalent) in theoretical physics, applied mathematics, or related disciplines; A strong interest in non-equilibrium statistical physics, cross-scale physics of living systems, and numerical simulations
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Astrophysics, Space Physics, Aerospace Engineering, Applied Physics, or a closely related field. Previous experience with numerical modelling and simulation relevant to space systems of astrophysics and a
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numerical simulations using ANSYS Fluent or equivalent CFD software, including modelling of fluid flow, turbulence, radiation, heat and mass transfer, and chemical reactions occurring in biomass conversion
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excellence of NTU and attracting interest of more industrial collaborators. Key Responsibilities: Develop a new and robust numerical model with lattice Boltzmann method to simulate flow and heat transfer with
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. • Advanced High Performance Computing Cluster: Run advanced simulations and analyze them using numerical tools. • Global Exposure: Contribute to publications in leading journals and attend international
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | about 10 hours ago
world-class scientists, contribute to current and on-going research, and develop essential skills in data analysis, numerical modeling, and scientific communication. With personalized mentorship, access
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planet formation, planetology and instrumentation. The successful candidate will join the high-energy team (the Sherpas), a lively research group with a strong expertise in numerical plasma simulations
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness