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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, scientific computation, scientific software and algorithm development, and data analysis; demonstrated ability to conduct original, high-quality research in computational fluid dynamics and/or computational
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or integrated prototype systems. Electrode fabrication, membrane electrode assembly preparation, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics
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or integrated prototype systems. Electrode fabrication, membrane electrode assembly preparation, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics
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, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics modelling to support device design and interpretation of experimental results, using COMSOL, ANSYS
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parameterizations. Job Requirements REQUIRED: PhD in geosciences, statistics, physics, engineering, or a related field at the time of the appointment; PREFERRED: Strong background in fluid dynamics, turbulence, and
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of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic
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related to stroke, thrombosis, adhesion, and cardiovascular fluid dynamics with some computational modeling. The position requires a doctoral (Ph.D.) degree in a scientific discipline by time of appointment
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. Job description The Aerodynamics group is composed of 12 scientific staff and hosts the Chairs of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific
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computing, dynamical systems, and applied mathematics to develop new mathematical frameworks for representing, compressing, and computing with complex physical systems. The project is carried out in close