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Postdoctoral position - Computational Inverse de ... (No replies)
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Postdoctoral position research topic:
Polymer Electrolyte Membrane Fuel Cells (PEMFC) constitute an important alternative energy solution to reduce societal dependence on internal combustion engines and lead acid batteries. They give the promise of significantly improved energy efficiency with zero or low greenhouse gas emissions, and they are expected to play a key role in the hydrogen economy. Despite tremendous research efforts and very significant technological progress since the late 1980s, PEMFCs are still facing some challenges in regards of their application in Electric Vehicles, such as cost, tolerance to external pollutants and aging.
We propose here a postdoctoral job to develop and apply an innovative theoretical inverse design approach to PEMFC components such as electrodes, micro-porous and gas diffusion layers. Such an approach will encompass continuum computational techniques, topological optimization and machine learning algorithms. Expected results will include optimized components architectures for given performance targets. This work will be carried out in strong collaboration/interaction with an automotive company.
Required candidate profile:
Contract duration: 1-year, to start as soon as possible.
Place of work: Hub de l’Energie, Laboratoire de Réactivité et Chimie des Solides (LRCS) – UMR CNRS 7314 – Université de Picardie Jules Verne – Amiens, France.
Application modalities: Interested individuals are requested to send to Prof. Alejandro A. Franco’s email ( [email protected] ) the following materials: