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We are looking for a highly motivated candidate to pursue a PhD programme titled " CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition ." This research
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Computational Fluid Dynamics (CFD) and Artificial Intelligence (AI) for future flexible hydropower operation. Your work assignments As a PhD student, you will conduct research at the intersection of
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combines advanced radiation and CFD modeling and the use of spectrometer and camera-based data. You will be part of the groups teams that works on related topics and together we will develop a new
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underwater radiated noise during the design phase, a complex multiphysics problem involving good physical understanding, high fidelity CFD, and possibly machine learning. Who we are looking for The
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these can work together to reduce hydrodynamic forces and create conditions for ecosystem recovery. You will develop and apply computational fluid dynamics (CFD) models to explore how tidal currents and
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following topics: Computational Fluid Dynamics (CFD) of high-temperature and pyrometallurgical processes; Molecular dynamics simulations of molten oxide and slag systems; Experimental determination of
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, Thermodynamics and CFD. Experience in automotive or aerospace applications is strongly desired. Independence, creativity, motivation, and strong numerical and analytic abilities The following
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Fire Dynamics Simulator CFD code Experimental validation of simulations Machine learning for accelerated evaluation of radiative properties The doctoral degree will be awarded upon successful
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-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Looking to advance the frontiers of research in computational