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Field
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contribute to the field of planetary science and to develop a world-leading expertise in geophysical, numerical and experimental fluid dynamics. The successful candidate will also be able to develop
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innovative projects that have a major impact on society. Context and contributions of the position: Understanding subsurface fluid flow is crucial for optimizing geothermal systems and mitigating risks such as
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will develop an integrated framework combining computational fluid dynamics (CFD) with quantum gas LiDAR measurements to improve the quantification of methane emissions. The central research question is
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9 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T03 Mechanical Engineering, Machines, and Thermal and Fluid Motors Research Field Engineering » Mechanical engineering
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Rennes (Brittany) Surface viscosity is a fundamental property of fluid interfaces: it quantifies their resistance to deformation and controls many physical and industrial processes. It plays a key role in
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within a Research Infrastructure? No Offer Description Mixing rules for the prediciont of physico-chemical properties of fluids from pure components are relatively well-established in the scientific
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to develop strong skills in viscous fluid mechanics, numerical methods and applied mathematics. Start date: October 2026. Duration: 4 years. Education: A strong 4-year degree or MSc degree in Mechanical
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inorganic nanomaterials (XRD, UV-Vis, XPS, TEM/SEM, BET, TGA, FTIR, Raman) • Practical skills: inorganic synthesis and/or catalytic evaluation • Basic knowledge of quantum physics, fluid mechanics and
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are invited for a fully funded Industrial Doctoral Landscape Award in partnership with Siemens Digital Industry Software, focused on advancing the next generation of industrial Computational Fluid Dynamics (CFD
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of real-world exposome scenarios. The doctoral candidate will quantify the kinetics of homo- and heteroaggregation, as well as sedimentation dynamics in biological fluids, using dynamic light scattering