PhD student - algorithms for flow sensibilty analyisis using GPU supercomputers (R1)

The quest for carbon-neutral aviation propels us toward uncharted technological frontiers. In ERC Synergy TRANSDIFFUSE, we present an ambitious program to develop an AI-driven model that may revolutionize propulsion technologies. As a synergistic consortium, we unite the numerical modelling prowess of UPM team, the high-fidelity computational capabilities of LS/CFD group at BSC, and Purdue University experimental ingenuity.



TRANSDIFFUSE aims to develop new tools related to clean propulsion, specifically an AI-driven model called FluidGPT. In doing so, we expect to enable major advancements to the aeronautical and power generation sectors, including, for example, hydrogen pressure gain combustion (PGC) engines, which are compact, lightweight, high-efficiency turbines. In initiating FluidGPT, we aim to overcome challenges like those facing PGC, by exploiting the thing that has made compact turboma...