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Field
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are especially challenging to represent in numerical models of the atmosphere. Clouds affect the Earth’s radiation budget. Changes in their properties, either due to global warming or aerosol pollution, can
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of emissions of greenhouse gases. The reason for most of this uncertainty is that clouds are especially challenging to represent in numerical models of the atmosphere. Clouds affect the Earth’s radiation
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Heidelberg University is a comprehensive university with a strong focus on research and an international standards. With around 31,300 students and 8,400 employees, including numerous top
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programme aims to advance fundamental understanding of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key
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model tests on granular flows.PhD position 2# is supported by an Advanced Grant of the European Research Council (ERC). The ideal candidate will focus on constitutive modelling and numerical simulations
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in the attached template. 5.1. The application must include the following documents: a) Copy of certificate or diploma degree. b) Detailed curriculum vitae structured in accordance with point 9. c
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experimental tests Skilled in analyzing, post processing and interpreting test results Experienced in numerical modeling and simulation techniques Has published papers in peer-reviewed journals Experienced in
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the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. - Publication of research results and presentation of results at scientific conferences
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Engineering, or a related field. Excellent knowledge of automotive design solutions, including historical and current technologies and trends. Strong background in numerical simulations (FEM, MBS) and
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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer