Job Description
Overview
Position: PhD student - algorithms for flow sensitivity analysis using GPU supercomputers (R1)
Reference: 295_26_CASE_LSCFD_R1
Starting date: 01/08/2026
Closing date: Wednesday, 15 July, 2026
Context and Mission
The quest for carbon-neutral aviation propels us toward uncharted technological frontiers. TRANSDIFFUSE is an ERC Synergy project to develop an AI-driven model called FluidGPT for clean propulsion and advanced flow control. The research blends numerical modelling, high-fidelity CFD, and experimental work across collaborating institutions.
Key Duties
- Develop novel algorithms for flow sensitivity using large data sets accelerated by GPUs.
- Assess the developed algorithms in TRANSDIFFUSE basic test cases.
- Participate in the CFD activities of the LS/CFD team in CASE.
- Develop scalable algebraic libraries and frameworks for GPUs.
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