Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
modelling. Ideally applicants should hold, or be close to completing, a PhD in fluid dynamics, geophysical or environmental flows, continuum mechanics, computational physics, or a closely related field. A
-
-liquid critical point. The dynamic nature of the degree of miscibility renders such fluid pairs to be applicable in several applications such as liquid-liquid mass transfer, flow pattern tuning to name a
-
Laboratory facilities. Supervise, train, and assist PhD students and postdoctoral researchers on experimental methods. Teach part of a course in fundamental fluid mechanics. Contribute to laboratory health and
-
the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations
-
to inform and enhance reactive flow simulators, ultimately contributing to a better understanding of the impacts of dissolved CO2 on fluid flow dynamics and rock reactivity at larger scales within
-
. The post is funded by the Leverhulme Trust and is part of an international multidisciplinary research project entitled “Solute motion in complex fluids: mathematics and solvation dynamics”. The programme
-
) if you have any questions. Thank you! Postdoc position for experimental fluid dynamics: Please submit your application at https://apply.interfolio.com/174332 by 12/01/2025. PhD opportunity will be a joint
-
connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-position
-
, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance their operational reliability. The PhD student will combine mathematical
-
(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern