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Two-Year Postdoctoral Position on Model Order Reduction for Additive Manufacturing Processes

Submitted by yancheng.zhang on

The research will take place at CEMEF, MINES Paris – PSL, France.

Application Deadline: 2026-April-30

The overall objective of the FAST-AM project (Post-doc_2026_Fast_AM_En.pdf) is to accelerate the numerical modeling of additive manufacturing processes by developing advanced model order reduction techniques and applying them to the design of complex industrial components.

The proposed reduction strategy combines the Inherent Strain Rate (ISR) method with Proper Orthogonal Decomposition (POD). These approaches have already been applied to Directed Energy Deposition simulations of a structure with varying curvatures, achieving a computational speedup of approximately two orders of magnitude. To further reduce computational cost, an additional reduction step based on hyper-reduction techniques is proposed. The industrial application will focus on the laser powder bed fusion process.

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